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At Clearpath we take a pragmatic approach to the design and development of complex autonomous systems. Our multi-disciplinary team operates within the bounds of what’s technically feasible while ensuring safety, efficiency, and quality throughout your project. By keeping our efforts nimble and highly collaborative we are able to integrate design, problem solving, requirements tracking, and life cycle integration in a way that facilitates fast learning through rapid iterations.


Situational awareness is core to autonomous robotic systems. Through innovative sensor fusion and point cloud processing, Simultaneous Localization and Mapping (SLAM) constructs a map of the environment while tracking the robot’s location in parallel. Object classification and tracking identify and tag points of interest for the robot to map.


Dynamic path planning determines the discrete motions required to accomplish desired tasks and maintains the route through linear and angular velocity commands at each instant of time. Safety and error handling are paramount to usability and run parallel to the planning and control operations.


Simulation is essential for evaluation of mathematically complex and safety sensitive environments. Before deployment, we use comprehensive simulation to assess the interactive and environmental performance of your autonomous system.

ROS Development

A proud supporter of the Open Source Robotics Foundation (OSRF), Clearpath was an early adopter of the Robot Operating System (ROS) and has more deployed more robots running ROS to the field than any other organization. With one of the largest ROS development teams in the world, Clearpath has industry leading expertise in the design and development of ROS software and ROS powered robotic systems.