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Related lectures (912)
Vision-Language-Action Models: Training and Applications
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Learning and Adaptive Control for Robots: Overview and Path Planning
Explores learning and adaptive control for robots, focusing on challenges, path planning with dynamical systems, and real-time planning applications.
Force Control with Dynamical Systems
Covers compliant and force control for robots using Dynamical Systems.
Learning and Adaptive Control for Robots: SEDS & LPV-DS
Explores learning and adaptive control for robots through SEDS and LPV-DS, emphasizing stability, non-linear dynamics, and optimization.
Learning Modulation for DS
Explores learning and adaptive control for robots, emphasizing modulation of dynamical systems to improve stability and enable reactive motion.
Robot Learning and Control
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Learning and Adaptive Control for Robots: Extensions to DS
Explores coupled and uncoupled dynamical systems, stability, hand-arm coupling, and adaptation in robotics.
Acquiring Data for Learning
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Obstacle Avoidance with DS
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Learning Physically-Consistent Gaussian Mixture Model
Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.