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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.
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 autonomously moving and assembling soft matter systems, focusing on hydrogel actuators, latch-mediated spring actuation, and self-spinning filament bundles.
Introduces the basics of robotics, covering definitions, classifications, and statistics, and explores the evolution and applications of different types of robots.
Explores robotic body enhancement with extra limbs and the challenges of neuroengineering in developing robotic extra fingers for restoration and augmentation.
