Grasp planning
Skill a5c-ai/babysitter/library/specializations/robotics-simulation/skills/grasp-planning
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
npx -y skills add a5c-ai/babysitter --skill grasp-planningAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Grasp planning and execution for robotic manipulation tasks
SKILL.md
1.5 KB, as published. Nobody here has run it
Grasp Planning Skill
Overview
Expert skill for planning and executing robotic grasps, including grasp pose generation, quality metrics, and gripper control.
Capabilities
- Configure grasp pose generation (GPD, GraspIt!)
- Implement antipodal grasp detection
- Set up grasp quality metrics
- Configure approach and retreat vectors
- Implement pre-grasp and post-grasp poses
- Set up gripper control and monitoring
- Configure grasp database and learning
- Implement 6-DOF grasp pose estimation
- Set up object affordance detection
- Configure collision-aware grasp selection
Target Processes
- moveit-manipulation-planning.js
- object-detection-pipeline.js
- rl-robot-control.js
- hri-interface.js
Dependencies
- MoveIt grasps
- GPD (Grasp Pose Detection)
- GraspIt!
- moveit_simple_grasps
Usage Context
This skill is invoked when processes require grasp planning for manipulation, pick-and-place operations, or bin picking tasks.
Output Artifacts
- Grasp pose configurations
- Gripper action configurations
- Grasp quality evaluations
- Approach vector definitions
- Grasp database entries
- Collision-aware grasp selections