Explores soft electrically-driven actuators for robotics and haptics, focusing on electrostatic actuation principles and the development of soft actuators using various materials.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Introduces the basics of robotics, covering definitions, classifications, and statistics, and explores the evolution and applications of different types of robots.
Covers the master programs in Microengineering and Robotics, minors in photonics and biomedical technologies, industry perspectives, and career opportunities in the medtech industry.
