Prompt

Which path planning software supports edge deployment and hardware integration?

Latest observation

Jul 27, 2026 · OpenAI APIWeb search: off

Several path planning software options support edge deployment and/or hardware integration, depending on whether you mean robotics, AGVs/AMRs, drones, or autonomous vehicles. Common choices include:

  • ROS / ROS 2 with Nav2

    • Strong for robotics path planning and hardware integration
    • Runs on embedded/edge devices like NVIDIA Jetson, Intel NUC, Raspberry Pi (with limits)
    • Integrates with sensors, controllers, and custom hardware through ROS drivers
  • Autoware

    • Designed for autonomous driving and robot vehicle stacks
    • Supports edge/on-vehicle deployment
    • Integrates with LiDAR, cameras, GNSS/IMU, and vehicle interfaces
  • MoveIt / MoveIt 2

    • For robotic manipulation and motion planning
    • Integrates with industrial robot hardware and controllers
    • Can run on edge systems and be deployed near the robot
  • PX4 / ArduPilot (for drones)

    • Path/mission planning for UAVs
    • Deep hardware integration with flight controllers and sensors
    • Runs directly on embedded hardware, with companion computers for advanced planning
  • Open-RMF

    • For fleet-level coordination and routing in facilities
    • Integrates with robots and building systems
    • Typically edge-deployed in on-prem environments
  • Commercial robotics platforms like:

    • Clearpath software stacks
    • FANUC / ABB / KUKA motion planning and control ecosystems
    • Brain Corp-style autonomy stacks for AMRs
      These often include hardware integration and edge deployment capabilities.

If you want, I can narrow this down by use case:

  1. mobile robots / AMRs,
  2. robot arms,
  3. drones, or
  4. autonomous vehicles.

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