Robotics for Neurodiversity Understanding

Related lectures (31)

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

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

Covers the basics of robot simulation and programming using Webots.

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

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

Delves into the cellular mechanisms of sensorimotor interactions in the brain, emphasizing whisker movement control.

Explores the state of robotics research, covering interdisciplinary challenges, sensor technologies, and human-robot collaboration architectures.

Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.

Covers PID tuning, cascaded controllers, dynamic models, and centralized control in robotics.

Explores the relationship between neuroscience and machine learning in visual intelligence.