Toward a seamless interaction of robotic systems with the physical world.
We are a robotics research group at the Technical University of Munich and the University of Toronto led by Prof. Angela Schoellig. We combine control theory, machine learning, and optimization to build robots that operate safely and effectively in uncertain, real-world environments — from single systems to large-scale swarms.
Learning-based & safe control · Drone simulation · RL · VLAs · Multi-robot systems · Mobile manipulation
Pinned Loading
Repositories
- swarmGPT Public
- crisp_gym Public
Gym environments for manipulators based on crisp_py and ROS2: collect data and deploy policies on real ROS2 enabled manipulators.
- crisp_controllers Public
CRISP – Compliant ROS2 Controllers for Learning-Based Manipulation Policies
- gym-pybullet-drones Public
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
- jetson_setup Public
- upright Public
[RA-L 2023, 2025] Model predictive control and trajectory optimization for fast nonprehensile object transportation with a mobile manipulator.
Top languages
Loading…
Most used topics
Loading…