Embracing Complexity for Enduring and Adaptive Robots

Related lectures (31)

Explores learning and adaptive control for robots, emphasizing modulation of dynamical systems to improve stability and enable reactive motion.

Explores the concept of robots, defined as mechatronic devices designed to automatically perform tasks imitating human actions.

Explores learning and adaptive control for robots through SEDS and LPV-DS, emphasizing stability, non-linear dynamics, and optimization.

Explores challenges and future directions of collaborative robots in real-world scenarios from a human-centric perspective.

Explores the basics of mobile robotics, emphasizing uncertainties and the Bayes filter algorithm.

Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.

Discusses how robots manipulate objects using natural language instructions and integrates vision-language models for enhanced performance.

Explores the use of Center Pathet Generators for agile locomotion in medium-sized robots.

Delves into the modes of Thymio, showcasing its ability to sense and react to its environment.

Covers the integration of visual perception and robotic actions in embodied AI.

Introduces the 'Mission to Mars' project where students control robots to perform tasks.

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