Lecture

Synthetic Training Data via Generative Models

Related lectures (31)
Acquiring Data for Learning
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Robot Learning and Control
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Controlling Behavior in Animals and Robots
Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.
Attention-based Robot Learning of Haptic Interaction
Presents a novel architecture for robot learning of haptic interaction, achieving robust object class estimation and enhancing haptic interaction efficiency.
Robotics in EducationMOOC: Die digitale Welt mit dem Thymio Roboter entdecken
Explores the benefits of using a learning robot to support education in computer science and programming.
Force Control with Dynamical Systems
Covers compliant and force control for robots using Dynamical Systems.
Cooperation of Assistive Robots
Explores the cooperation of assistive robots in improving nursing care productivity and creating a vibrant society by 2050.
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.
Bayesian Disturbance Injection: Robust Imitation
Explores Bayesian disturbance injection for robust imitation in robot learning, demonstrating its effectiveness in reducing error compounding and achieving high task achievement.
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.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.