Our mission and dedication is to create robots and intelligent systems that are able to autonomously operate in complex and diverse environments. We are interested in the mechatronic design and control of systems that autonomously adapt to different situations and cope with our uncertain and dynamic daily environment. We are fascinated by novel robot concepts that are best adapted for acting on the ground, in the air and in the water. We are furthermore keen to give them the intelligence to autonomously navigate in challenging environments. This includes novel methods and tools for perception, abstraction, mapping and path planning.
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Repositories
Showing 10 of 432 repositories
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- predicate_learning Public
Code for paper "On Learning Scene-aware Generative State Abstractions for Task-level Mobile Manipulation Planning"
- virus_nerf Public
- terrain-navigation Public
Repository for Safe Low Altitude Navigation in steep terrain for fixed-wing Aerial Vehicles (RA-L Submission)
- ros_controllers_moma Public Forked from gurbain/ros_controllers
MoMa fork of ros_controllers for Swerve Drive integration.