 Autonomous Systems LabOpen OpportunitiesThis project aims to develop a system for guiding visually-impaired humans through physical interaction with a robot. Inspired by guide dogs, the human is physically connected to a quadruped robot (ANYmal) through a tether or rigid link. The robot is able to pull the human toward a desired position (or along a path) only using forces as an indirect communication-channel.
- Robotics and Mechatronics
- Master Thesis
| The overarching goal of this project is to enable robots to continually and autonomously learn from their environment by adapting to novel environments and learn to identify new object categories. The established approach of supervised learning on large datasets always has problems with domain and sim-to-real gaps. This line of work therefore represents a shift towards learning during the robot’s mission, naturally removing any domain gaps but also reducing the amount of supervision that can be applied. - Intelligent Robotics
- Master Thesis, Semester Project
| The overarching goal of this project is to enable robots that can continually and autonomously learn from their environment by adapting to novel environments and learn to identify new object categories. The established approach of supervised learning on large datasets always has problems with domain and sim-to-real gaps. This line of work therefore represents a shift towards learning during the robot’s mission, naturally removing any domain gaps but also reducing the amount of supervision that can be applied. - Intelligent Robotics
- Master Thesis
| In this thesis we aim to improve a control framework to enable aerial physical manipulation of objects with onboard perception. To this end, we combine a sampling-based MPC approach with onboard sensing (e.g., RGBD camera) on a drone in order to update the internal controller model according to the perceived information. - Aerospace Electrical Systems, Flight Control Systems
- Master Thesis
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