Matlab Robotics Autonomy
MATLAB R2026a robotics and autonomy workflow for ROS Toolbox, Robotics System Toolbox, Navigation Toolbox, UAV Toolbox, sensor fusion, trajectory planning, simulation, and reproducible robot experiments. Use for ROS/ROS 2 bags, robot models, path planning, SLAM, state estimation, and autonomy prototyping.
Install
$ agentstack add skill-wzyn20051216-matlab-agent-skills-matlab-robotics-autonomy ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
MATLAB Robotics Autonomy
Use this skill for robotics, autonomy, and ROS workflows.
Workflow
- Confirm environment: ROS or ROS 2, bag files, robot model, coordinate frames, sensors, and MATLAB toolboxes.
- Load data or simulator deterministically.
- Validate frames, units, timestamps, and message types before algorithms.
- Build the smallest loop first: read data, process one frame, save one metric.
- Scale to full trajectory, bag, or simulation only after the small loop passes.
Preferred APIs
- ROS:
ros2bagreader,rosbagreader, message readers, publishers, subscribers. - Robotics:
rigidBodyTree,inverseKinematics,manipulatorRRT. - Navigation: occupancy maps, planners, controllers, localization.
- Sensor fusion: Kalman filters, tracking filters, coordinate transforms.
- UAV: scenario, trajectory, and sensor simulation APIs when installed.
Acceptance Checks
Use at least one:
- Bag metadata and topic count parsed correctly.
- Frame transform chain is valid.
- Path has finite waypoints and no obvious obstacle collision.
- State estimator output has finite covariance.
- Trajectory tracking error is within tolerance.
- Figures or videos are exported with reproducible scripts.
Risk Checklist
Watch for:
- ENU/NED/body/world frame mixups.
- Degrees vs radians.
- Timestamp drift.
- Sensor rate mismatch.
- ROS domain ID or middleware mismatch.
- Large bag files that need sampled processing.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: wzyn20051216
- Source: wzyn20051216/matlab-agent-skills
- License: MIT
- Homepage: https://github.com/wzyn20051216/matlab-agent-skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.