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Lecture
Safe Learning in Robotics: Quo Vadis?
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Related lectures (31)
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Perceptual Robotics: Integrating Vision and Action
Covers the integration of visual perception and robotic actions in embodied AI.
Robotics: The State!
Explores the state of robotics research, covering interdisciplinary challenges, sensor technologies, and human-robot collaboration architectures.
Manipulating Objects with Robots: Vision-Language Integration
Discusses how robots manipulate objects using natural language instructions and integrates vision-language models for enhanced performance.
Autonomous Robotics: Kinematics and Control
Explores autonomous robotics, covering kinematics, control, position control, modeling, linearization, and feedforward compensation.
Force Control with Dynamical Systems
Covers compliant and force control for robots using Dynamical Systems.
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.
Dynamic Modeling of Robots: Implementations
Explores the implementation approaches for dynamic modeling of robots, focusing on optimization and simplification techniques.
Robot Learning and Control
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Introduction to Feedback Control Systems: Concepts and Applications
Covers the principles of feedback control systems and their applications in various fields.
Learning Physically-Consistent Gaussian Mixture Model
Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.
