Explores soft electrically-driven actuators for robotics and haptics, focusing on electrostatic actuation principles and the development of soft actuators using various materials.
Delves into the theory of material activation, proposing a unified mathematical framework to model how multiple stimuli can produce changes at the macroscopic level.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Introduces the basics of robotics, covering definitions, classifications, and statistics, and explores the evolution and applications of different types of robots.
Explores elastomer actuators using electrostatic forces for soft robotics applications, showcasing their potential in creating efficient and controllable soft machines.
