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Babysitter path-planning

Trajectory planning and motion control algorithm development

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 "$T/library/specializations/domains/science/automotive-engineering/skills/path-planning" ~/.claude/skills/a5c-ai-babysitter-path-planning && rm -rf "$T"
manifest: library/specializations/domains/science/automotive-engineering/skills/path-planning/SKILL.md
tags
#path-planning#motion-control#autonomous-driving#adas#trajectory-optimization#collision-checking
source content

Path Planning Algorithm Skill

Purpose

Enable trajectory planning and motion control algorithm development for autonomous driving applications including behavior planning and emergency maneuvers.

Capabilities

  • Behavior planning state machine design
  • Trajectory optimization (polynomial, spline-based)
  • Model Predictive Control (MPC) implementation
  • Lattice planner implementation
  • Collision checking algorithms
  • Comfort and safety constraint handling
  • Emergency maneuver planning
  • Parking trajectory generation

Usage Guidelines

  • Design behavior planning for predictable driving patterns
  • Optimize trajectories for comfort and efficiency
  • Implement robust collision checking at all planning stages
  • Handle edge cases and emergency situations
  • Validate planning algorithms in simulation
  • Document algorithm parameters and tuning

Dependencies

  • ROS/ROS2
  • Apollo
  • Autoware
  • MATLAB/Simulink

Process Integration

  • ADA-002: Path Planning and Motion Control
  • ADA-003: ADAS Feature Development
  • ADA-004: Simulation and Virtual Validation