ReddRadar
Agent skill
path-planning
Trajectory planning and motion control algorithm development
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/automotive-engineering/skills/path-planning
Metadata
Additional technical details for this skill
- tags
-
adas autonomous-driving path-planning motion-control
- version
- 1.0
- category
- automotive-engineering
SKILL.md
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
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