11 docs tagged with "Robotics"

Exploring deep reinforcement learning for robotics applications, covering DRL algorithms (DQN, policy gradients, actor-critic), and their implementation in robotic systems

Overview of humanoid robot development challenges (structure, actuation, control)

Explain humanoid kinematics (forward/inverse) and dynamics (joint control, balance, stability), mathematical models

Discuss humanoid control, balance (ZMP), stable locomotion, feedback mechanisms

Explore legged locomotion principles (walking gaits, footstep planning, dynamic stability)

Cover manipulation (grasping, object handling), interaction with environment/humans, integrating perception/control

Introduce VLA concept (vision, language, action), how they enable natural language commands for robots

Explain how VLAs enable natural language interaction, commands, questions, feedback, challenges, future directions

Introduction to reinforcement learning for robotics, explaining RL fundamentals (states, actions, rewards, policies) and applications in robotics

Understanding sim-to-real transfer for reinforcement learning, discussing challenges and techniques like domain randomization and adaptation

Understanding sim-to-real transfer techniques, explaining challenges, and techniques like domain randomization and adaptation