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Lecture
Dynamic Modeling of Robots: Implementations
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Related lectures (31)
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Acquiring Data for Learning
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Learning Physically-Consistent Gaussian Mixture Model
Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.
Computational Robot Design: Morphological Intelligence and Simulation
Explores computational robot design, morphological intelligence, simulation, and innovative contact dynamics solutions.
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.
Mobile Robotics: Autonomy and Simulation
Explores autonomy in mobile robotics, high-fidelity simulation, control architectures, and real-time emulation.
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 Simulation and Programming
Covers the basics of robot simulation and programming using Webots.
Robot Learning and Control
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Obstacle Avoidance with DS
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
