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multidisciplinary project at the intersection of Robotics and wildlife conservation. The project aims to develop autonomous drones capable of perching on natural structures, inspired by the way birds rest on branches
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job
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movement as well as performing the “sim2real” step for the control of physical musculoskeletal robots in the real world, i.e., use cass include neuromuscular model-based control of robotic legs and arms
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. The position is available with a flexible start date to be agreed upon. The PhD candidate will join the Autonomous Multi-Robots Lab at the Cognitve Robotics Department and will be supervised by both Javier
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join the Autonomous Multi-Robots Lab at the Cognitve Robotics Department and will be supervised by both Javier Alonso-Mora and Bilge Atasoy. Thanks to that synergetic collaboration, the PhD candidate