Robotics Toolbox for Python
Python library for robot kinematics, dynamics, and trajectory planning with a familiar MATLAB-like API.
Robotics Toolbox for Python
Robotics Toolbox for Python by Peter Corke reimagines the classic MATLAB Robotics Toolbox in Python. It provides tools for modelling, simulating, and controlling serial-link robot arms and mobile robots, with support for DH parameters, URDF models, and modern spatial-math conventions.
Key Features
- Forward and inverse kinematics (analytic + numeric solvers via ikpy / spatialmath)
- Jacobians, manipulability, condition number, and null-space calculations
- Trajectory generation: joint-space and Cartesian-space trapezoidal & quintic profiles
- Built-in models for 30+ robots: Panda, UR5, Jaco, DHRobot, Swift simulator
- Tight integration with
spatialmath-pythonandroboticstoolbox-python
Quick Start
pip install roboticstoolbox-python
import roboticstoolbox as rtb
panda = rtb.models.Panda()
print(panda)
# Forward kinematics
T = panda.fkine(panda.qr)
print(T)
# Inverse kinematics
q, success, *_ = panda.ik_lm_chan(T)
print(q, success)
npx ai-supply add robotics-toolbox-python
Curated mirror of the open-source Robotics Toolbox for Python (MIT). Get it from the source.
Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.
Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).
The same gate an agent runs before installing (POST /api/v1/trust/robotics-toolbox-python/check). Click a policy:
Consume Robotics Toolbox for Python programmatically. Authenticate with an API key or session — see Authorize an agent.
# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/robotics-toolbox-python
# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/robotics-toolbox-python/check \
-H "Content-Type: application/json" \
-d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'
# CLI
npx ai-supply add robotics-toolbox-python
# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/robotics-toolbox-python/install \
-H "Authorization: Bearer $AIM_KEY"
# MCP tool
install_listing({ "slug": "robotics-toolbox-python" })OpenAPI spec →Curated mirror — latest upstream source. See the repository for tagged releases.