Perception
Object detection, segmentation and tracking from cameras, LiDAR, depth sensors and radar, with models sized for the onboard computer.
Service
Autonomous robotics and intelligent systems engineering
We write the perception, localisation, planning and control software that lets a machine work on its own, and we prove it in simulation before it moves on site.
The problem
Robots that work in the lab often stop working on site
Lighting changes through the day. Wheels slip on dust. Satellite positioning drops out under a crop canopy or a factory roof. People step into the planned path, and the wireless link fails at the far end of the building. Each of these is ordinary, and each can halt an autonomous machine.
The engineering difficulty lies in integration. Perception, localisation, planning and control must run together within real-time limits on a computer that fits the power budget. Safety functions have to work when the software does not. Simulation results must transfer to hardware.
Our approach is staged. We define the operating envelope in writing, build and test in simulation, move to hardware-in-the-loop, and then run supervised site trials. Every run is logged, so a failure can be replayed and fixed.
What we deliver
Robotics & Intelligent Systems sub-services
Each item can be contracted separately or combined into one programme of work.
Localisation and mapping
SLAM, visual-inertial odometry and sensor fusion with Kalman filters or factor graphs, using GNSS-RTK outdoors and fiducials or map matching indoors.
Motion planning and control
Global and local planners, model predictive control, trajectory optimisation, manipulator kinematics and behaviour trees for task logic.
Simulation and digital twins
Physics-based models of the robot and its site, scenario libraries for regression testing, and domain randomisation to narrow the gap between simulation and reality.
Embedded and edge computing
ROS 2 on GPU modules, x86 and ARM computers, micro-ROS on microcontrollers, and interfaces to CAN, EtherCAT and Modbus devices.
Fleet and system integration
Fleet coordination, teleoperation, remote diagnostics, signed software updates, and links to PLCs, manufacturing execution and warehouse systems.
Technologies and methods
Tools we use and how we use them
We build on open, widely used robotics software, which keeps you free of a single vendor and makes it easier to hire maintainers.
Middleware and frameworks
ROS 2, Nav2 for navigation, MoveIt 2 for manipulation, ros2_control for hardware abstraction, and PX4 or ArduPilot for aerial vehicles.
Perception stack
OpenCV, the Point Cloud Library, PyTorch models exported through ONNX and accelerated with TensorRT.
Simulation
Gazebo, Webots and NVIDIA Isaac Sim, chosen by the fidelity the task needs, with the same ROS 2 interfaces in simulation and on hardware.
Safety
Risk assessment to ISO 12100, with reference to ISO 10218 for industrial robots, ISO/TS 15066 for collaborative operation and ISO 3691-4 for driverless industrial trucks. Protective stops use safety-rated hardware and do not depend on the autonomy software.
Security
Authenticated and encrypted ROS 2 communication with SROS2, signed updates and network segmentation between robot, fleet server and plant systems.
Industry use cases
Typical applications by industry
These are representative applications of this service. They describe the kind of work we take on, not past clients.
Manufacturing
Autonomous mobile robots that move material between cells, vision-guided pick and place, and inspection robots for repetitive checks.
Agriculture
Field rovers for scouting and targeted weeding with GNSS-RTK row following, and drone surveys that map crop stress.
Healthcare
Indoor delivery robots for samples and supplies, integrated with lifts and automatic doors.
Telecom and utilities
Drone inspection of towers and lines, with automated detection of defects in the captured imagery.
Research labs
Experimental platforms, ROS 2 drivers for custom hardware and reproducible benchmark environments.
Engagement models
Four ways to work with us
Start at the level that matches your certainty about the problem.
Consulting
Architecture review, sensor and compute selection, or a feasibility study for automating a specific task.
Proof of concept
A simulation study or a single-robot prototype that demonstrates the hardest part of the task against written criteria.
Full build
The complete autonomy stack, integration on your hardware, site commissioning, documentation and operator training.
Ongoing support
Log analysis, tuning for new sites or seasons, software updates and added capabilities.
Delivery process
How a Robotics & Intelligent Systems project runs
Define the operating envelope
Write down the environment, tasks, speeds, payloads, people nearby and what the robot must do when something fails.
Simulate and prototype
Build the stack against a model of the site and test it on recorded sensor data.
Integrate on hardware
Bring up sensors, drives and safety circuits, then run hardware-in-the-loop tests.
Trial and commission
Supervised trials at your site with staged increases in speed, area and autonomy.
Support
Review logs, fix edge cases and extend the system as operations change.
FAQ
Robotics & Intelligent Systems questions
Do you build robot hardware or only software?
Our core work is software, electronics integration and system design. We prefer proven commercial platforms, sensors and computers, because they shorten the schedule. When a task needs a custom mechanical design, we specify it and agree with you how it will be fabricated.
Why do you use ROS 2?
It is open source, it has a large ecosystem of drivers and algorithms, and it supports real-time and secure communication. Your system is not tied to one vendor, and engineers who know it are easier to find.
How is safety tested before a robot works near people?
We begin with a documented risk assessment. Protective functions such as emergency stop and speed limiting are implemented in safety-rated hardware, independent of the autonomy software. Behaviour is then tested in simulation, on a closed course and in supervised trials. Conformity assessment of the final machine remains the responsibility of the manufacturer or integrator of record, and we supply the technical evidence for it.
Can the robot operate without GPS or a network connection?
Yes, if it is designed for that. Indoors and under canopy, localisation uses LiDAR, cameras and wheel odometry. All functions needed for safe operation run onboard, so a lost network link delays reporting and does not stop safe behaviour.
Can you add autonomy to a machine we already own?
Often, yes. If the machine can be commanded electronically, for example over CAN, we add sensors, a computer and a control interface. If it cannot, a drive-by-wire retrofit is assessed first for cost and safety.
What about drone regulations in India?
Drone operations in India are governed by the Drone Rules, 2021 and administered through the Digital Sky platform. The operator is responsible for registration, pilot certification and airspace permissions. We design the system and the flight procedures to fit those rules.
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Explore Li-Fi SystemsHave a task you want a machine to do on its own?
Describe the task, the site and the machine. We will tell you which part is hard and how we would test it.