Path Planning Algorithm Skill
SkillDev toolsTrajectory planning and motion control algorithm development
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Path Planning Algorithm Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/automotive-engineering/skills/path-planning/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
path-planning- Source
- github.com/a5c-ai/babysitter