Explores elastomer actuators using electrostatic forces for soft robotics applications, showcasing their potential in creating efficient and controllable soft machines.
Delves into the theory of material activation, proposing a unified mathematical framework to model how multiple stimuli can produce changes at the macroscopic level.
Introduces the basics of robotics, covering definitions, classifications, and statistics, and explores the evolution and applications of different types of robots.
Covers corrected exercises from the 2020 exam in the field of robotics, including topics such as accuracy, speed, DC motors, optimal gear ratio, dynamics of robot arms, encoders, and kinematics.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Delves into material-enabled technologies for soft and fluidic robots, covering fabrication, gripping force, spider gripper functionality, and future directions.
