Autonomous Services - OptM Solutions

Autonomous Services

Overview

OPTM develops autonomous software and perception systems that enable Unmanned Ground Vehicles (UGVs) to safely navigate, perceive their surroundings, and perform autonomous or remotely operated missions across defence, industrial, agricultural, mining, and logistics environments. Leveraging expertise in AI, computer vision, sensor fusion, embedded systems, robotics, and autonomous navigation, we help OEMs and system integrators accelerate the development of next-generation autonomous ground platforms.

Autonomous Driving and Robotics Engineering Services Overview

What We Offer

  • Autonomous navigation software for indoor and outdoor unmanned ground vehicles

  • AI-powered perception using camera, LiDAR, Radar and ultrasonic sensors

  • Sensor fusion for robust localization, mapping and environmental awareness

  • SLAM, localization and path planning for GPS-enabled and GPS-denied environments

  • Obstacle detection, collision avoidance and autonomous mission planning

  • ROS2-based robotics software development and middleware integration

  • Embedded software development for vehicle controllers and edge AI platforms

  • Fleet management, remote diagnostics and OTA software update capabilities

  • Simulation, validation and field testing using Gazebo, CARLA and real-world environments

  • Autonomous mission planning, remote monitoring and fleet coordination

Platforms and Tools Expertise

Our autonomy engineering teams leverage key industry platforms and tools for robust, safety-compliant driverless applications.

Edge Computing / Processors:

  • NVIDIA Jetson Orin, Xavier & Nano Series
  • Intel Core & Intel NUC Edge Platforms
  • AMD Ryzen Embedded Platforms
  • Qualcomm Robotics RB Series
  • Industrial PCs & ARM-based Embedded Platforms

Robotics Software & Sim Tools:

  • ROS / ROS2 (Nav2, MoveIt)
  • Gazebo, Webots & Isaac Sim
  • MATLAB, Simulink & Stateflow
  • OpenCV, TensorFlow, PyTorch & ONNX
  • Docker, Linux, C++ & Python
  • CUDA & TensorRT for Edge AI Acceleration
Technical Insights

Autonomous Systems Engineering Details

Explore our path planning, trajectory generation, ROS2 deployment, and simulation validation capabilities.

Frequently Asked Questions

What navigation middleware and tools do you use for autonomous vehicle development?
We primarily utilize standard middleware frameworks like ROS/ROS2, including advanced packages like Nav2 and MoveIt. For simulation and virtual testing, we leverage CARLA, Gazebo, Webots, and MATLAB/Simulink.
How do you handle the transition from virtual simulation to real hardware?
We implement a strict 'Sim-to-Real' validation process. First, code is tested in closed-loop simulations (CARLA/Gazebo). Next, it is deployed onto target processors (such as NVIDIA Jetson or NXP S32G) in a Hardware-in-the-Loop (HIL) lab environment. Finally, we execute field validation and testing on physical vehicles.
Do you develop custom path planning and motion control algorithms?
Yes. We design and implement custom path planning (global and local) and motion control algorithms tailored to your vehicle's mechanical and kinematic constraints, ensuring smooth and safe trajectory tracking.
Can your team integrate autonomous stacks onto custom mobile robots?
Absolutely. We provide autonomous system integration for custom mobile robots, automated guided vehicles (AGVs), and autonomous mobile robots (AMRs) in industrial, warehouse, agricultural, and defense sectors.

Why Us

Modular Autonomy Stack

Our pre-built, modular navigation and control components enable rapid prototyping and reduce time-to-market.

Sim-to-Real Workflows

Comprehensive integration of simulation tools ensures smooth and secure transition from virtual models to physical systems.

ROS/ROS2 Expertise

Deep competency in standard robotics middleware, enabling scalable and industry-compliant communication architectures.

End-to-End Validation

From initial simulation tests to HIL validation and field testing, we ensure robust safety and reliability.