Sort by
Refine Your Search
-
Listed
-
Employer
- Eindhoven University of Technology (TU/e)
- University of Groningen
- AMOLF
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e); Eindhoven
- Radboud University
- Delft University of Technology (TU Delft); Delft
- Leiden University
- University of Twente
- University of Twente (UT)
- University of Twente (UT); today published
- Vrije Universiteit Amsterdam (VU); today published
- 2 more »
- « less
-
Field
-
reliably until an external change or internal aging cause them to fail once and for all. In this project, we will utilize a physical learning approach to imbue metamaterials and robots with intrinsic
-
and Computational Methods, Media Psychology (including work on use and effects of media technology, social robotics, and extended reality), and Digital Communication (focusing on persuasion and health
-
… Requirements Specific Requirements An MSc degree related to geo-informatics, computer science or robotics. Prior experience in computer vision and deep/reinforcement learning. Very good programming skills
-
demonstrate it in simple robots. Our work bridges organic neural systems and hysteron computing, and leverages (bio)chemical and electrical feedback to materialize adaptivity and plasticity. Key questions
-
of Supervisory Controller Synthesis. Affinity with application domains within mechanical engineering such as, e.g., mechatronics or robotics. Strong analytical and problem-solving skills, with a passion for
-
this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
-
robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
-
under varying lighting, fabric blends, and soiling; (5) porting the inference pipeline to an embedded/edge-compute platform; (6) integrating with our robotic pick-and-place cell for iterative field trials
-
environment with cutting-edge laboratories and facilities to support transformative research across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical
-
tools for speech disorders, real-time language processing for human-robot interaction, and adaptive content generation in augmented and virtual reality environments. The project combines algorithm design