Babysitter Grasp Planning Skill
Grasp planning and execution for robotic manipulation tasks
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/robotics-simulation/skills/grasp-planning" ~/.claude/skills/a5c-ai-babysitter-grasp-planning-skill && rm -rf "$T"
manifest:
library/specializations/robotics-simulation/skills/grasp-planning/SKILL.mdsource content
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