Lectures related to Acquiring Data for Learning

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.

Compliant Control for Robots: Impedance and Variable Stiffness

Explores compliant control for robots through impedance and variable stiffness, enabling safe and adaptive interactions with the environment.

Robot Learning and Control

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

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.

Force Control with Dynamical Systems

Covers compliant and force control for robots using Dynamical Systems.

Improving Robot Design: Data-Driven Approaches

Explores data-driven approaches to improve robot design, focusing on compliance, soft materials, and complex interactions.

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 Physically-Consistent Gaussian Mixture Model

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

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 Modulation for DS

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

Obstacle Avoidance with DS

Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.

Computational Robot Design: Morphological Intelligence and Simulation

Explores computational robot design, morphological intelligence, simulation, and innovative contact dynamics solutions.

Robots: Safe Collaboration

Covers challenges and solutions for robots to work safely with humans, emphasizing adaptability and predictability.

Cooperation of Assistive Robots

Explores the cooperation of assistive robots in improving nursing care productivity and creating a vibrant society by 2050.

Manipulating Objects with Robots: Vision-Language Integration

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

Social Robots for Health & Education

Explores the use of social robots for health and education, emphasizing their unique influence on decision-making and learning interactions.

Perceptual Robotics: Integrating Vision and Action

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

Center Pathet Generators for Agile Locomotion

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

Robotics Drive Selection

Explores two paradigms for robotics, components like motors, gears, sensors, and controllers, and design considerations for various types of robots.

Robotics Basics: Definitions and Applications

Introduces the basics of robotics, covering definitions, classifications, and statistics, and explores the evolution and applications of different types of robots.