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Tekdis Ltd UK

Outdoor & Autonomous Robotics Hardware

Build reliable autonomous robots with industrial hardware from Tekdis Ltd, a UK robotics hardware supplier. We support UK robotics OEMs and system integrators with NVIDIA Jetson edge AI computers, GMSL2 cameras, LiDAR, GNSS positioning, wireless connectivity, storage, power and rugged I/O for autonomous mobile robots, machine vision and industrial robotics.

Outdoor autonomous robotics hardware application in the UK
The Tekdis Advantage

One UK hardware partner for the full robotics platform

UK robotics teams often lose time sourcing cameras from one supplier, AI computers from another, LiDAR from another, and then chasing antennas, storage, displays, cables, I/O and power accessories separately. Tekdis Ltd brings the robotics hardware stack together so your engineering team can focus on the robot, not the supplier chase.

Wide-range robotics hardware supply, built around one application.

Tekdis does not supply autonomy software. We supply the hardware foundation your software runs on: edge AI computers, cameras, LiDAR, antennas, positioning hardware, network hardware, storage, displays, power and rugged I/O.

One platform. One hardware stack. One supply partner. No software lock-in
Complete hardware supply

Source the complete robotics hardware stack

Match edge AI, cameras, LiDAR, RF antennas, storage, displays, network hardware and I/O around the same platform requirements.

Your software stack

Bring your own autonomy software

Use your preferred robotics software, ROS environment, NVIDIA Isaac workflow, vision pipeline or custom application.

Prototype to production

Plan beyond the first sample

Support long-life supply, second-source options, replacement parts, accessory matching and scalable OEM purchasing.

Practical integration

Cover the parts people forget

Include GMSL2 cables, RF leads, mounting hardware, PoE budget, DC power, storage and wireless module options.

Complete Robotics Hardware Stack

Complete Robotics Hardware Stack for UK OEMs

Your team owns the software, algorithms and robot behaviour. Tekdis supports the physical hardware layers that make the robotics platform work in the field, from prototype builds through to UK OEM production.

Your robotics software ROS, NVIDIA Isaac, custom perception, SLAM, path planning, vehicle control or application software.
+
Tekdis hardware stack Matched hardware layers for perception, edge processing, positioning, connectivity, storage, power and rugged deployment.
01

Edge AI Core

NVIDIA Jetson and rugged GPU systems for inference, sensor fusion and local decision-making.

02

Perception

GMSL2, stereo, RGB-IR and machine-vision cameras for object detection, depth and visual data.

03

Ranging

LiDAR sensors for mapping, obstacle detection, safety zones and 3D environmental awareness.

04

Positioning & RF

GNSS, antennas, 4G/5G, Wi-Fi and RF accessories for positioning, telemetry and remote access.

05

Network & I/O

PoE, M12, CAN bus, Ethernet, serial, DIO and expansion hardware to connect sensors and machine systems.

06

Deployment Hardware

Industrial SSDs, memory, displays, power accessories and mounting hardware for field-ready builds.

Tekdis supplies the hardware stack, not the autonomy software. This is designed for OEMs and system integrators who already have software capability but need a stronger hardware supply partner.
Application Value

A Robotics Hardware BOM That Works as One System

The real value is not a single AI computer, camera or LiDAR sensor. It is the ability to supply the surrounding robotics hardware that turns those parts into a practical field-ready platform.

From parts list to platform hardware package

Tekdis can help define the hardware bill of materials for outdoor autonomous platforms, then support the supply path from sample build through to production.

  • Perception hardware selected around cable length, field of view, mounting and interface requirements.
  • Edge AI hardware matched to camera count, LiDAR input, acceleration needs, power budget and environment.
  • Wireless, GNSS, storage and I/O selected as part of the deployment, not after the prototype is already built.
  • Optional alternatives and second-source choices to support cost reduction and lifecycle planning.
For OEMs

Reduce supplier complexity

Consolidate key hardware layers through one technical supply partner instead of managing a separate supplier for each subsystem.

Stronger purchasing path
For engineers

Make hardware choices earlier

Confirm interfaces, cable runs, power requirements, storage, RF and I/O before the system design becomes difficult to change.

Fewer redesign risks
For prototypes

Build with production in mind

Select hardware that can move from bench testing to field trials and OEM production without restarting the sourcing process.

Scalable hardware supply
For field deployment

Cover the full operating environment

Account for vibration, temperature, dust, moisture, DC power, antenna placement, network cabling and service access.

Outdoor-ready thinking
Platform Blueprint

Example UK Robotics Hardware Stack, Layer by Layer

The platform below shows how Tekdis UK hardware categories can be combined into one machine architecture, with each layer supporting sensing, navigation, edge processing, control or field connectivity.

Leopard Imaging Owl GMSL2 camera Example: Owl GMSL2 Camera
Vision Layer

Camera input for machine perception

GMSL2 and stereo cameras provide low-latency visual data for object detection, crop recognition, visual SLAM and multi-camera coverage.

LSLiDAR CB64S1 LiDAR sensor Example: CB64S1 LiDAR
Ranging Layer

3D ranging and obstacle awareness

LiDAR adds dense point-cloud data for mapping, near-field perception, obstacle avoidance and safety zones around the robot.

NEXCOM ATC3562-IP7-NX4MF rugged Jetson Orin NX edge AI computer Example: ATC3562 Orin NX

Rugged Edge AI Computer

The central platform provides verified GMSL2 camera input, GbE for LiDAR, optional GNSS/5G/Wi-Fi expansion, CAN bus and rugged I/O for real-time perception, fusion and control workloads.

Panorama 4x4 MiMo 4G/5G WiFi GPS/GNSS Sharkfin antenna Example: 4x4 MiMo 4G/5G + WiFi, GNSS Sharkfin
RF & Positioning Layer

External RF antenna system

A multi-function roof antenna supports cellular, Wi-Fi and GPS/GNSS signals for mobile robotics platforms. It can be paired with the edge computer’s compatible wireless and positioning module options to reduce the number of external antennas required.

Lantech T(P)ES-L6208XT rugged PoE Ethernet switch Example: T(P)ES-L6208XT PoE Switch
Network Expansion Layer

Rugged Ethernet and PoE expansion

Used when the platform needs additional Ethernet ports, PoE power for external sensors, M12 connectivity or a rugged network point close to cameras and LiDAR. Smaller builds can connect sensors directly to the edge AI computer.

Example Platform

Outdoor Autonomous Field Robot Hardware Stack

Each hardware layer answers a deployment requirement and feeds into the wider autonomous platform.

  • Forward and side GMSL2 cameras detect objects, people, crop rows and operating boundaries.
  • LiDAR provides 3D ranging for obstacle avoidance, mapping and navigation around changing terrain.
  • GNSS, INS and IMU hardware supports positioning through open areas and weak signal zones.
  • The rugged edge AI computer runs perception, SLAM, sensor fusion, path logic and machine I/O locally.
  • 5G/LTE and Wi-Fi module options, a rugged roof antenna, optional PoE switching, M12 cabling, CAN bus and industrial storage turn the prototype into a field-ready system.
Processing

ATC3760 / ATC3562 / PE1103N

Jetson Thor or Orin systems for inference, sensor fusion, route logic and real-time control.

Vision

Owl, Hawk and RGB-IR stereo cameras

Depth, wide field of view, rugged camera options and GMSL2 input for multi-camera builds.

Ranging

CB64S1, CH128 and 360 degree LiDAR

Mapping, obstacle awareness, blind-spot monitoring and ranging around the platform.

Deployment

PoE expansion, M12, CAN, 5G antenna and storage

Direct sensor connections may be enough for smaller builds. Add a rugged Ethernet/PoE switch when the platform needs more ports, PoE power or distributed field cabling.

Example Applications

Robotics Hardware for UK OEM Applications

Edge AI, perception, positioning, connectivity and rugged I/O can be adapted to UK field robotics, inspection, yard automation, AMR/AGV projects and autonomous machinery.

Autonomous field robot hardware stack for UK robotics projects
Field Robotics

Outdoor autonomous machine

Designed around rugged edge AI, GMSL2 vision, LiDAR, GNSS/INS and mobile connectivity.

  • IP-rated edge AI computer
  • GMSL2 cameras and LiDAR
  • GNSS, 5G and CAN bus integration
Crop picking robot perception and control stack
Agricultural Robotics

Vision-guided picking robot

Built around stereo depth, edge inference, object detection, robotic arm control and data logging.

  • Stereo depth and RGB-IR vision
  • Jetson inference platform
  • Storage for image datasets
AMR and inspection robot hardware stack for UK system integrators
AMR / Inspection

Mobile inspection platform

Combines cameras, LiDAR, localisation and wireless networking for autonomous inspection and remote operation.

  • 360 degree perception hardware
  • Low-latency edge processing
  • Remote telemetry and diagnostics
Solution Layers

Robotics Hardware Layers for UK Applications

Each layer below supports a specific robotics requirement, helping UK engineering teams match the right Tekdis product groups to the platform they are building.

Edge AI Processing

NVIDIA Jetson Thor and Orin systems, carrier boards and rugged GPU platforms for inference, sensor fusion, path planning and robotics workloads.

Perception & Vision

GMSL2, RGB-IR, stereo depth and machine-vision cameras for object detection, crop recognition, visual SLAM and multi-camera platforms.

LiDAR & 3D Mapping

360 degree, hybrid solid-state and application-specific LiDAR options for mapping, ranging, obstacle detection and safety areas.

Positioning & Navigation

GNSS, INS, IMU and dead-reckoning hardware for platforms that need reliable positioning around buildings, trees, tunnels or weak signal areas.

Rugged Control Systems

Fanless computers with wide DC input, ignition sensing, M12, PoE and CAN bus for deployment on mobile machines.

Power, Network & Expansion

5G/LTE, Wi-Fi, PoE, M.2 modules, industrial SSDs, memory, displays and interface expansion to complete the system.

Example Product Stack

Example Robotics Hardware Stack Products

The products below show example hardware layers for a UK robotics build, from edge AI and perception through to ranging, external RF antennas and optional rugged network expansion.

NEXCOM ATC3562-IP7-NX4MF Jetson Orin NX edge AI computer Example shown: ATC3562
Edge AI Core

Run inference and sensor fusion locally

The central computer provides GMSL2 input for the Owl camera, GbE for LiDAR, optional GNSS/5G/Wi-Fi expansion, CAN bus and rugged I/O for real-time perception and control workloads.

Leopard Imaging Owl GMSL2 camera Example shown: Owl GMSL2
Vision Input

Capture low-latency visual data

Camera hardware supports object detection, machine vision, crop recognition, obstacle awareness and multi-camera coverage around the platform.

LSLiDAR CB64S1 LiDAR sensor Example shown: CB64S1
3D Ranging

Map, range and detect obstacles

LiDAR adds 3D environmental data for localisation support, near-field perception, safety zones and autonomous path planning.

Panorama 4x4 MiMo 4G/5G WiFi GPS/GNSS Sharkfin antenna Example shown: 4x4 MiMo Sharkfin
RF & Positioning

Combine cellular, Wi-Fi and GNSS signals

A multi-function vehicle antenna supports cellular, Wi-Fi and GPS/GNSS signals for mobile robots, reducing the need for separate antennas across the platform.

Lantech T(P)ES-L6208XT rugged PoE Ethernet switch Example shown: T(P)ES-L6208XT
Optional Sensor Network

Expand Ethernet and PoE when required

A rugged PoE switch can add Ethernet sensor ports, powered device support and M12 field connectivity for larger or more distributed robotics builds.

Configuration note: selected sensors can connect directly to the edge AI computer. Rugged Ethernet/PoE expansion can be added for extra sensor ports, powered devices, M12 field cabling or network separation. Final configuration should include the correct GMSL2 cable, Ethernet/PoE cabling, RF antenna leads, power wiring, mounting accessories and module options.
Reference Builds

Where Robotics Hardware Fits on Outdoor Machines

These layouts show where each robotics hardware layer can sit within a complete outdoor platform.

Autonomous field machine hardware reference build

Autonomous field machine

A rugged autonomy stack for agricultural, inspection or outdoor mobile machinery.

  • 1

    Edge AI Computer

    Runs local inference, sensor fusion, camera pipelines and route logic.

  • 2

    GMSL2 Camera Network

    Long cable cameras provide forward, side and rear vision coverage.

  • 3

    LiDAR

    3D mapping and ranging support obstacle awareness and navigation.

  • 4

    GNSS / INS

    Positioning hardware supports localisation in open and difficult signal areas.

  • 5

    5G / LTE

    Remote diagnostics, telemetry, updates and fleet visibility.

  • 6

    Rugged I/O

    CAN bus, PoE, M12, storage and power integration for deployment.

Crop-picking robot hardware reference build

Crop-picking robot

A vision-led robotics stack for detection, depth, positioning and robotic arm guidance.

  • 1

    Stereo Vision

    Depth cameras help detect crop location, size and picking distance.

  • 2

    Edge AI Inference

    Jetson hardware runs detection models and robotic control logic locally.

  • 3

    LiDAR Safety Zone

    LiDAR supports obstacle awareness around people, rows and structures.

  • 4

    Control I/O

    CAN bus, serial and digital I/O connect the robot arm and machine systems.

  • 5

    Connectivity

    5G/LTE and Wi-Fi support fleet updates, logging and remote access.

  • 6

    Industrial Storage

    Rugged SSD and memory support image logging, datasets and system uptime.

Partner Hardware

Robotics Hardware Brands Available from Tekdis UK

A curated UK line-card across AI platforms, embedded PCs, sensing, vision, LiDAR and rugged robotics hardware.

NEXCOM

Rugged Computing

NVIDIA Jetson

Edge AI Platform

Axiomtek

Embedded PCs

LSLiDAR

LiDAR Sensors

Leopard Imaging

GMSL2 Cameras

ASUS IoT

Edge AI / IPC

GPI Korea

Vision Hardware

Neousys

Rugged Edge AI
Standards & Interfaces

Robotics Hardware Standards, Interfaces and Keywords

The standards, interfaces and keywords UK engineers often need when specifying robotics hardware for field deployment.

Rugged & Environment

  • MIL-STD-810H shock and vibration
  • MIL-STD-461 EMI / EMC
  • IEC 60529 IP67 / IP69K
  • -40°C to +70°C operating range
  • EN 50155 rail certification
  • SWaP-C optimised designs
  • Wide 9 to 48 VDC, ignition sensing

Safety & Compliance

  • EN ISO 3691-4 AGV / AMR
  • ISO 13849-1 Performance Level
  • ANSI/RIA R15.08 mobile robots
  • UL 3100 automated vehicles
  • ISO 26262 ASIL functional safety
  • IEC 61508 functional safety
  • CE, FCC and RoHS

Interfaces & Software

  • NVIDIA Jetson Orin / Thor
  • ROS and ROS 2 middleware
  • GMSL2 cameras and LiDAR
  • CAN bus, PoE and M12
  • GNSS / INS / IMU fusion
  • PCIe, M.2, COM-HPC and COMe
  • COTS and long-life supply options
Robotics Hardware FAQ

Common UK Robotics Hardware Questions

Practical answers for OEMs, system integrators and engineering teams specifying hardware for autonomous robots, AMRs, AGVs, machine vision and outdoor robotics platforms.

Question

What robotics hardware does Tekdis supply in the UK?

Tekdis Ltd supplies edge AI computers, NVIDIA Jetson systems, GMSL2 cameras, stereo cameras, LiDAR, GNSS and RF antennas, rugged networking, industrial storage, memory, displays, power accessories and I/O hardware.

Question

Does Tekdis supply robotics software?

No. Tekdis focuses on the industrial hardware stack that supports robotics software, including hardware for ROS, NVIDIA Isaac, machine vision, sensor fusion, edge AI and custom control applications.

Question

Can Tekdis support a complete robotics hardware BOM?

Yes. Tekdis can help UK OEMs and system integrators source hardware layers together, including compute, perception, ranging, positioning, wireless connectivity, storage, network hardware and rugged I/O.

Question

Which hardware is used for robotics perception?

Robotics perception hardware commonly includes GMSL2 cameras, 3D stereo cameras, RGB-IR cameras and LiDAR sensors connected to an edge AI computer for detection, depth, mapping and obstacle awareness.

Question

What hardware is needed for outdoor autonomous robots?

Outdoor robots usually require rugged edge computing, IP-rated sensors, reliable power input, GNSS or inertial positioning, wireless connectivity, industrial storage, rugged cabling and interfaces such as PoE, CAN bus and M12.

Question

Can Tekdis support prototype and production robotics projects?

Tekdis can support early samples, refresh projects, second-source options and production supply planning for UK robotics OEMs and system integrators.

Why Tekdis Ltd

Build a Complete Robotics Hardware Platform in the UK

Speak with the Tekdis Ltd UK team about matching AI computers, cameras, LiDAR, positioning, wireless connectivity, storage and rugged I/O for your next UK robotics project.

System-level hardware advice Support across the full robotics hardware stack, from perception and edge processing through to network, storage and field deployment hardware.
Local UK support Technical support, competitive pricing and fast quotes from the Tekdis Ltd team.
Configured before shipment Module selection, OS imaging, storage, connectivity and licensing support.
Flexible supply options Source individual components for development work or matched hardware sets for OEM builds.
Tekdis Ltd UK

Outdoor & Autonomous Robotics Hardware

Build reliable autonomous robots with industrial hardware from Tekdis Ltd. We support UK robotics OEMs and system integrators with NVIDIA Jetson edge AI computers, GMSL2 cameras, LiDAR, GNSS positioning, wireless connectivity, storage, power and rugged I/O for autonomous mobile robots, machine vision and industrial robotics.

Outdoor autonomous robotics hardware application
The Tekdis Advantage

One hardware partner for the full robotics platform

Outdoor robotics teams often lose time sourcing cameras from one supplier, AI computers from another, LiDAR from another, and then chasing antennas, storage, displays, cables, I/O and power accessories separately. Tekdis Ltd brings the hardware stack together so your engineering team can focus on the robot, not the supplier chase.

Wide-range hardware supply, built around one application.

Tekdis does not supply autonomy software. We supply the hardware foundation your software runs on: edge AI computers, cameras, LiDAR, antennas, positioning hardware, network hardware, storage, displays, power and rugged I/O.

One platform. One hardware stack. One supply partner. No software lock-in
Complete hardware supply

Source the whole stack together

Match edge AI, cameras, LiDAR, RF antennas, storage, displays, network hardware and I/O around the same platform requirements.

Your software stack

Bring your own autonomy software

Use your preferred robotics software, ROS environment, NVIDIA Isaac workflow, vision pipeline or custom application.

Prototype to production

Plan beyond the first sample

Support long-life supply, second-source options, replacement parts, accessory matching and scalable OEM purchasing.

Practical integration

Cover the parts people forget

Include GMSL2 cables, RF leads, mounting hardware, PoE budget, DC power, storage and wireless module options.

Complete Hardware Stack

Everything around the autonomy software

Your team owns the software, algorithms and robot behaviour. Tekdis supports the physical hardware layers that make the platform work in the field.

Your robotics software ROS, NVIDIA Isaac, custom perception, SLAM, path planning, vehicle control or application software.
+
Tekdis hardware stack Matched hardware layers for perception, edge processing, positioning, connectivity, storage, power and rugged deployment.
01

Edge AI Core

NVIDIA Jetson and rugged GPU systems for inference, sensor fusion and local decision-making.

02

Perception

GMSL2, stereo, RGB-IR and machine-vision cameras for object detection, depth and visual data.

03

Ranging

LiDAR sensors for mapping, obstacle detection, safety zones and 3D environmental awareness.

04

Positioning & RF

GNSS, antennas, 4G/5G, Wi-Fi and RF accessories for positioning, telemetry and remote access.

05

Network & I/O

PoE, M12, CAN bus, Ethernet, serial, DIO and expansion hardware to connect sensors and machine systems.

06

Deployment Hardware

Industrial SSDs, memory, displays, power accessories and mounting hardware for field-ready builds.

Tekdis supplies the hardware stack, not the autonomy software. This is designed for OEMs and system integrators who already have software capability but need a stronger hardware supply partner.
Application Value

A robotics BOM that works as one system

The real value is not a single AI computer, camera or LiDAR sensor. It is the ability to supply the surrounding hardware that turns those parts into a practical robotics platform.

From parts list to platform hardware package

Tekdis can help define the hardware bill of materials for outdoor autonomous platforms, then support the supply path from sample build through to production.

  • Perception hardware selected around cable length, field of view, mounting and interface requirements.
  • Edge AI hardware matched to camera count, LiDAR input, acceleration needs, power budget and environment.
  • Wireless, GNSS, storage and I/O selected as part of the deployment, not after the prototype is already built.
  • Optional alternatives and second-source choices to support cost reduction and lifecycle planning.
For OEMs

Reduce supplier complexity

Consolidate key hardware layers through one technical supply partner instead of managing a separate supplier for each subsystem.

Stronger purchasing path
For engineers

Make hardware choices earlier

Confirm interfaces, cable runs, power requirements, storage, RF and I/O before the system design becomes difficult to change.

Fewer redesign risks
For prototypes

Build with production in mind

Select hardware that can move from bench testing to field trials and OEM production without restarting the sourcing process.

Scalable hardware supply
For field deployment

Cover the full operating environment

Account for vibration, temperature, dust, moisture, DC power, antenna placement, network cabling and service access.

Outdoor-ready thinking
Platform Blueprint

A working robotics platform, layer by layer

The platform below shows how Tekdis hardware categories can be combined into one machine architecture, with each layer supporting sensing, navigation, processing, control or field connectivity.

Leopard Imaging Owl GMSL2 camera Example: Owl GMSL2 Camera
Vision Layer

Camera input for machine perception

GMSL2 and stereo cameras provide low-latency visual data for object detection, crop recognition, visual SLAM and multi-camera coverage.

LSLiDAR CB64S1 LiDAR sensor Example: CB64S1 LiDAR
Ranging Layer

3D ranging and obstacle awareness

LiDAR adds dense point-cloud data for mapping, near-field perception, obstacle avoidance and safety zones around the robot.

NEXCOM ATC3562-IP7-NX4MF rugged Jetson Orin NX edge AI computer Example: ATC3562 Orin NX

Rugged Edge AI Computer

The central platform provides verified GMSL2 camera input, GbE for LiDAR, optional GNSS/5G/Wi-Fi expansion, CAN bus and rugged I/O for real-time perception, fusion and control workloads.

Panorama 4x4 MiMo 4G/5G WiFi GPS/GNSS Sharkfin antenna Example: 4x4 MiMo 4G/5G + WiFi, GNSS Sharkfin
RF & Positioning Layer

External RF antenna system

A multi-function roof antenna supports cellular, Wi-Fi and GPS/GNSS signals for mobile robotics platforms. It can be paired with the edge computer’s compatible wireless and positioning module options to reduce the number of external antennas required.

Lantech T(P)ES-L6208XT rugged PoE Ethernet switch Example: T(P)ES-L6208XT PoE Switch
Network Expansion Layer

Rugged Ethernet and PoE expansion

Used when the platform needs additional Ethernet ports, PoE power for external sensors, M12 connectivity or a rugged network point close to cameras and LiDAR. Smaller builds can connect sensors directly to the edge AI computer.

Example Platform

Outdoor autonomous field robot

Each hardware layer answers a deployment requirement and feeds into the wider autonomous platform.

  • Forward and side GMSL2 cameras detect objects, people, crop rows and operating boundaries.
  • LiDAR provides 3D ranging for obstacle avoidance, mapping and navigation around changing terrain.
  • GNSS, INS and IMU hardware supports positioning through open areas and weak signal zones.
  • The rugged edge AI computer runs perception, SLAM, sensor fusion, path logic and machine I/O locally.
  • 5G/LTE and Wi-Fi module options, a rugged roof antenna, optional PoE switching, M12 cabling, CAN bus and industrial storage turn the prototype into a field-ready system.
Processing

ATC3760 / ATC3562 / PE1103N

Jetson Thor or Orin systems for inference, sensor fusion, route logic and real-time control.

Vision

Owl, Hawk and RGB-IR stereo cameras

Depth, wide field of view, rugged camera options and GMSL2 input for multi-camera builds.

Ranging

CB64S1, CH128 and 360 degree LiDAR

Mapping, obstacle awareness, blind-spot monitoring and ranging around the platform.

Deployment

PoE expansion, M12, CAN, 5G antenna and storage

Direct sensor connections may be enough for smaller builds. Add a rugged Ethernet/PoE switch when the platform needs more ports, PoE power or distributed field cabling.

Example Applications

Hardware stacks for different robotics platforms

Edge AI, perception, positioning, connectivity and rugged I/O can be adapted to field robotics, inspection, yard automation, AMR/AGV projects and autonomous machinery.

Autonomous field robot hardware stack
Field Robotics

Outdoor autonomous machine

Designed around rugged edge AI, GMSL2 vision, LiDAR, GNSS/INS and mobile connectivity.

  • IP-rated edge AI computer
  • GMSL2 cameras and LiDAR
  • GNSS, 5G and CAN bus integration
Crop picking robot perception and control stack
Agricultural Robotics

Vision-guided picking robot

Built around stereo depth, edge inference, object detection, robotic arm control and data logging.

  • Stereo depth and RGB-IR vision
  • Jetson inference platform
  • Storage for image datasets
AMR and inspection robot hardware stack
AMR / Inspection

Mobile inspection platform

Combines cameras, LiDAR, localisation and wireless networking for autonomous inspection and remote operation.

  • 360 degree perception hardware
  • Low-latency edge processing
  • Remote telemetry and diagnostics
Solution Layers

Hardware layers selected for the application

Each layer below supports a specific robotics requirement, helping engineering teams match the right Tekdis product groups to the platform they are building.

Edge AI Processing

NVIDIA Jetson Thor and Orin systems, carrier boards and rugged GPU platforms for inference, sensor fusion, path planning and robotics workloads.

Perception & Vision

GMSL2, RGB-IR, stereo depth and machine-vision cameras for object detection, crop recognition, visual SLAM and multi-camera platforms.

LiDAR & 3D Mapping

360 degree, hybrid solid-state and application-specific LiDAR options for mapping, ranging, obstacle detection and safety areas.

Positioning & Navigation

GNSS, INS, IMU and dead-reckoning hardware for platforms that need reliable positioning around buildings, trees, tunnels or weak signal areas.

Rugged Control Systems

Fanless computers with wide DC input, ignition sensing, M12, PoE and CAN bus for deployment on mobile machines.

Power, Network & Expansion

5G/LTE, Wi-Fi, PoE, M.2 modules, industrial SSDs, memory, displays and interface expansion to complete the system.

Example Product Stack

Products that fit into the build

The products below show example hardware layers for a robotics build, from edge AI and perception through to ranging, external RF antennas and optional rugged network expansion.

NEXCOM ATC3562-IP7-NX4MF Jetson Orin NX edge AI computer Example shown: ATC3562
Edge AI Core

Run inference and sensor fusion locally

The central computer provides GMSL2 input for the Owl camera, GbE for LiDAR, optional GNSS/5G/Wi-Fi expansion, CAN bus and rugged I/O for real-time perception and control workloads.

Leopard Imaging Owl GMSL2 camera Example shown: Owl GMSL2
Vision Input

Capture low-latency visual data

Camera hardware supports object detection, machine vision, crop recognition, obstacle awareness and multi-camera coverage around the platform.

LSLiDAR CB64S1 LiDAR sensor Example shown: CB64S1
3D Ranging

Map, range and detect obstacles

LiDAR adds 3D environmental data for localisation support, near-field perception, safety zones and autonomous path planning.

Panorama 4x4 MiMo 4G/5G WiFi GPS/GNSS Sharkfin antenna Example shown: 4x4 MiMo Sharkfin
RF & Positioning

Combine cellular, Wi-Fi and GNSS signals

A multi-function vehicle antenna supports cellular, Wi-Fi and GPS/GNSS signals for mobile robots, reducing the need for separate antennas across the platform.

Lantech T(P)ES-L6208XT rugged PoE Ethernet switch Example shown: T(P)ES-L6208XT
Optional Sensor Network

Expand Ethernet and PoE when required

A rugged PoE switch can add Ethernet sensor ports, powered device support and M12 field connectivity for larger or more distributed robotics builds.

Configuration note: selected sensors can connect directly to the edge AI computer. Rugged Ethernet/PoE expansion can be added for extra sensor ports, powered devices, M12 field cabling or network separation. Final configuration should include the correct GMSL2 cable, Ethernet/PoE cabling, RF antenna leads, power wiring, mounting accessories and module options.
Reference Builds

Where each hardware layer sits on the machine

These layouts show where each hardware layer can sit within a complete robotics platform.

Autonomous field machine hardware reference build

Autonomous field machine

A rugged autonomy stack for agricultural, inspection or outdoor mobile machinery.

  • 1

    Edge AI Computer

    Runs local inference, sensor fusion, camera pipelines and route logic.

  • 2

    GMSL2 Camera Network

    Long cable cameras provide forward, side and rear vision coverage.

  • 3

    LiDAR

    3D mapping and ranging support obstacle awareness and navigation.

  • 4

    GNSS / INS

    Positioning hardware supports localisation in open and difficult signal areas.

  • 5

    5G / LTE

    Remote diagnostics, telemetry, updates and fleet visibility.

  • 6

    Rugged I/O

    CAN bus, PoE, M12, storage and power integration for deployment.

Crop-picking robot hardware reference build

Crop-picking robot

A vision-led robotics stack for detection, depth, positioning and robotic arm guidance.

  • 1

    Stereo Vision

    Depth cameras help detect crop location, size and picking distance.

  • 2

    Edge AI Inference

    Jetson hardware runs detection models and robotic control logic locally.

  • 3

    LiDAR Safety Zone

    LiDAR supports obstacle awareness around people, rows and structures.

  • 4

    Control I/O

    CAN bus, serial and digital I/O connect the robot arm and machine systems.

  • 5

    Connectivity

    5G/LTE and Wi-Fi support fleet updates, logging and remote access.

  • 6

    Industrial Storage

    Rugged SSD and memory support image logging, datasets and system uptime.

Partner Hardware

The brands robotics OEMs trust

A curated line-card across AI platforms, embedded PCs, sensing, vision, LiDAR and rugged robotics hardware.

NEXCOM

Rugged Computing

NVIDIA Jetson

Edge AI Platform

Axiomtek

Embedded PCs

LSLiDAR

LiDAR Sensors

Leopard Imaging

GMSL2 Cameras

ASUS IoT

Edge AI / IPC

GPI Korea

Vision Hardware

Neousys

Rugged Edge AI
Standards & Interfaces

Built and specified to standard

The standards, interfaces and keywords engineers often need when specifying robotics hardware for field deployment.

Rugged & Environment

  • MIL-STD-810H shock and vibration
  • MIL-STD-461 EMI / EMC
  • IEC 60529 IP67 / IP69K
  • -40°C to +70°C operating range
  • EN 50155 rail certification
  • SWaP-C optimised designs
  • Wide 9 to 48 VDC, ignition sensing

Safety & Compliance

  • EN ISO 3691-4 AGV / AMR
  • ISO 13849-1 Performance Level
  • ANSI/RIA R15.08 mobile robots
  • UL 3100 automated vehicles
  • ISO 26262 ASIL functional safety
  • IEC 61508 functional safety
  • CE, FCC and RoHS

Interfaces & Software

  • NVIDIA Jetson Orin / Thor
  • ROS and ROS 2 middleware
  • GMSL2 cameras and LiDAR
  • CAN bus, PoE and M12
  • GNSS / INS / IMU fusion
  • PCIe, M.2, COM-HPC and COMe
  • COTS and long-life supply options
Why Tekdis Ltd

Build a complete robotics hardware platform

Speak with the Tekdis Ltd UK team about matching AI computers, cameras, LiDAR, positioning, wireless connectivity, storage and rugged I/O for your next robotics project.

System-level hardware advice Support across the full robotics hardware stack, from perception and edge processing through to network, storage and field deployment hardware.
Local UK support Technical support, competitive pricing and fast quotes from the Tekdis Ltd team.
Configured before shipment Module selection, OS imaging, storage, connectivity and licensing support.
Flexible supply options Source individual components for development work or matched hardware sets for OEM builds.

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