Prompt

Can you recommend a grasp planning software for object sorting on a multi-DOF robot arm?

Artificial Intelligence / Robotics & Embodied AI1 observationLast seen Jul 19, 2026

Latest observation

Jul 19, 2026OpenAI APIWeb search: off

Yes — for object sorting with a multi-DOF robot arm, I’d recommend looking at a grasp planning stack rather than a single “grasp planner”, because you usually need:

  • grasp pose generation
  • collision checking
  • reachability / inverse kinematics
  • motion planning
  • execution integration with perception

Strong software options

1. MoveIt 2 (best general-purpose choice)

  • Why: Widely used in ROS 2 for robotic manipulation.
  • Includes:
    • motion planning
    • collision checking
    • IK integration
    • grasp/pose handling
  • Good if your sorting system uses ROS/ROS 2.
  • Pair it with:
    • MoveIt Task Constructor for pick-and-place workflows
    • a grasp generation method or perception pipeline

Best for: production-like industrial sorting and research systems.


2. GraspNet / Contact-GraspNet (best for vision-based grasp generation)

  • Why: Excellent if you want to generate grasps from point clouds or RGB-D data.
  • Useful for:
    • cluttered bin picking
    • object sorting by visual perception
  • Usually combined with a motion planner like MoveIt.

Best for: perception-driven grasp selection in cluttered scenes.


3. OpenRAVE + grasping plugins (older, but useful in some research setups)

  • Why: Good for grasp analysis and reachability studies.
  • Less modern than MoveIt, and community support is weaker now.

Best for: legacy or academic environments.


4. PyBullet or CoppeliaSim

  • Why: Good for simulation and prototyping sorting behavior.
  • Both support:
    • robot models
    • grasp testing
    • scene simulation
  • You can test grasp strategies before deploying to hardware.

Best for: rapid prototyping and sim validation.


My practical recommendation

If you want a robust setup for a multi-DOF arm sorting objects:

Use:

  • MoveIt 2 for planning/execution
  • Contact-GraspNet or GraspNet for candidate grasp generation
  • ROS 2 for integration
  • optional MoveIt Task Constructor for full pick-sort-place pipeline

This combination is very common and flexible.


If you want the simplest answer:

  • ROS 2 + MoveIt 2 if you need a dependable manipulation framework
  • Add GraspNet/Contact-GraspNet if you need vision-based grasp proposals

If you tell me:

  1. your robot arm model,
  2. whether you use ROS/ROS 2,
  3. whether the objects are in bins or on a conveyor,
  4. and whether you have RGB-D or just a camera,

I can recommend a more specific software stack.

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