Computational Robot Design: Morphological Intelligence and Simulation
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Delves into material-enabled technologies for soft and fluidic robots, covering fabrication, gripping force, spider gripper functionality, and future directions.
Presents a novel architecture for robot learning of haptic interaction, achieving robust object class estimation and enhancing haptic interaction efficiency.
Explores learning strategies in robotics, including reward systems, fixture usage, and training generalization from simulation to real-world applications.