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Path Planning Algorithm Skill

Trajectory planning and motion control algorithm development

Installable skillMITBy a5c-aiUpdated Oct 30, 2026
INTENDED FORClaude CodeCodexOpenClawCursorInstall in a listed agent.

instructions.md

---
name: path-planning-41cbe26af132
description: Trajectory planning and motion control algorithm development
allowed-tools:
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metadata:
  version: "1.0"
  category: automotive-engineering
  tags:
    - adas
    - autonomous-driving
    - path-planning
    - motion-control
graph:
  domains: [domain:automotive-engineering]
  skillAreas: [skill-area:sensor-fusion, skill-area:motion-planning, skill-area:physics-simulation]
  roles: [role:systems-integration-engineer, role:embedded-engineer]
---

# 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

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.