Explores robotic body enhancement with extra limbs and the challenges of neuroengineering in developing robotic extra fingers for restoration and augmentation.
Presents a novel architecture for robot learning of haptic interaction, achieving robust object class estimation and enhancing haptic interaction efficiency.
Explores Bayesian disturbance injection for robust imitation in robot learning, demonstrating its effectiveness in reducing error compounding and achieving high task achievement.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Explores advancements in robot learning for autonomy at scale, covering deep learning challenges, efficient architecture, benchmarking results, and societal implications.
Delves into the design, fabrication, and functionality of soft bio-integrated and bio-mimetic electronics for mobile health and human-centered robotics.
Covers the history, kinematics, and applications of parallel robots with closed kinematic chains and all motors at the base, including the Delta robot and its variants.
Investigates sensorimotor control in locomotion using robots and mathematical models, exploring bimodal locomotion, insect walking, and undulatory swimming.
