
Autonomous Navigation Systems
ROS 2 navigation, mapping, localization, planning, controls and sensor integration for autonomous mobile robots.
Explore this service →Engineering support for ROS 2, NVIDIA Omniverse and Physical AI—from digital twins, perception and robot learning to humanoids, quadrupeds, AMRs and industrial deployment.

From ROS 2 engineering to Physical AI, we help teams build, train, validate and deploy modern robot systems.

ROS 2 navigation, mapping, localization, planning, controls and sensor integration for autonomous mobile robots.
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Pick-and-place, bin picking, grasping, motion planning and force-aware manipulation for industrial robot arms.
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2D and 3D vision, LiDAR, depth cameras, detection, tracking and GPU-accelerated ROS 2 perception pipelines.
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OpenUSD digital twins, NVIDIA Omniverse, Isaac Sim, software-in-the-loop testing and synthetic data workflows.
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Custom interfaces and drivers for cameras, LiDARs, motor controllers, embedded systems and complete robot platforms.
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ROS 2 applications for humanoids: navigation, perception, manipulation, teleoperation and sim-to-real validation.
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Autonomous inspection, terrain-aware navigation, perception, payload integration and remote operator workflows.
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Reinforcement learning, imitation learning, demonstration data, policy evaluation and controlled deployment workflows.
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Vision-language models and vision-language-action prototypes for scene understanding, task planning and robot interaction.
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RTX sensor simulation, domain randomization, synthetic datasets, teleoperation data and Physical AI evaluation pipelines.
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Hands-on training in navigation, manipulation, perception, drivers, Docker, simulation and deployment.
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OpenUSD, Omniverse, Isaac Sim, Isaac ROS, Isaac Lab, digital twins, synthetic data and robot learning workshops.
Explore this service →Solution areas spanning humanoids, robot learning, navigation, manipulation and simulation.

Localization, navigation, obstacle awareness, safety boundaries and mission-level task control for humanoid platforms.

3D scene understanding, grasp planning and task execution with humanoid arms and dexterous end effectors.

Simulation environments, reward design, policy training, evaluation and controlled sim-to-real transfer for humanoids.

Demonstration collection, dataset processing, policy training and deployment validation for embodied robot tasks.

Natural-language task interfaces, visual grounding, semantic scene understanding and controlled action pipelines.

Perception-led patrols, mapping, waypoint navigation and remote operator workflows for quadruped robots.

Warehouse simulation, sensor modelling, navigation stress testing and synthetic data generation for AMR systems.

Vision-guided pick-and-place, motion planning, gripper integration and workstation safety logic.
A selection of organizations shown on the current RUNTIME Robotics website.
ROS developers and educators focused on practical robot-software delivery.

ROS developer and educator since 2010, author of 11 books on ROS, and a hands-on engineering partner for simulation, navigation and robot-software projects.
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ROS software developer, educator and co-author supporting practical robot-software delivery, training and modern ROS 2 development workflows.
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RUNTIME Robotics works with commercial and research teams on robot software, simulation, algorithms, perception and integration. The goal is to help teams turn robotics ideas into reliable systems while sharing practical knowledge through training.
Tell us what robot, ROS version and development challenge you are working on.