MPC Controller Skill
SkillAI & modelsExpert skill for Model Predictive Control implementation and tuning
Use MPC Controller Skill in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the MPC Controller Skill
Details
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.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/robotics-simulation/skills/mpc-controller/SKILL.md and read by Ahel’s review.
Overview
Expert skill for designing, implementing, and tuning Model Predictive Controllers for robotic systems, including both linear and nonlinear MPC.
Capabilities
- Derive kinematic and dynamic robot models
- Formulate MPC optimization problems (QP, NLP)
- Configure CasADi for symbolic differentiation
- Set up ACADO code generation for real-time MPC
- Implement constraint handling (velocity, acceleration, collision)
- Configure cost function weights (tracking, control effort)
- Implement warm starting for fast convergence
- Set up NMPC for nonlinear systems
- Configure terminal constraints and costs
- Optimize solver parameters for real-time execution
Target Processes
- mpc-controller-design.js
- trajectory-optimization.js
- dynamic-obstacle-avoidance.js
- path-planning-algorithm.js
Dependencies
- CasADi
- ACADO Toolkit
- OSQP
- qpOASES
- Ipopt
Usage Context
This skill is invoked when processes require advanced model-based control, trajectory tracking with constraints, or real-time optimization-based control strategies.
Output Artifacts
- MPC formulation code
- CasADi symbolic models
- ACADO generated code
- QP/NLP solver configurations
- Cost function tuning parameters
- Constraint specifications
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
mpc-controller-skill- Source
- github.com/a5c-ai/babysitter
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