Learning of Manual Skills

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Related lectures (31)

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Learning Physically-Consistent Gaussian Mixture Model

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

Learning Modulation for DS

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

Interpersonal Manual Tasks: Human-Robot Interactions

Delves into human-robot interactions through interpersonal manual tasks, revealing insights on performance differences and adaptation in human behavior.

Acquiring Data for Learning: Modern Approaches and Challenges

Explores modern approaches and challenges in acquiring data for learning optimal controllers through demonstrations and data-driven methods.

Understanding Cortical Contributions to Motor Adaptation

Explores using mice and machine learning to understand cortical contributions to motor adaptation in intelligent systems.

Cerebellum: Neural Control of Movement

Explores the neural control of movement, focusing on the cerebellum's role in motor learning and coordination.

Articulation System in Biology

Explores the science of articulation and the relationship between space and mental imagery.

Multimodal Analytics: Human-Robot Interaction and Learning Processes

Delves into Human-Robot Interaction, student engagement, and learning analytics using multimodal data to enhance educational processes.

Learning and Adaptive Control for Robots: Extensions to DS

Explores coupled and uncoupled dynamical systems, stability, hand-arm coupling, and adaptation in robotics.

Learning and Control for Complex Systems

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.