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Explores compliant control for robots through impedance and variable stiffness, enabling safe and adaptive interactions with the environment.

Explores learning and adaptive control for robots, focusing on challenges, path planning with dynamical systems, and real-time planning applications.

Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.

Delves into the necessity of complex organ systems in robots to enhance their abilities and lifespan.

Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.