Robot Kinematics

Robot kinematics studies the mathematical description of robot movement, aiming to precisely model and control a robot's position and orientation. Current research focuses on improving the accuracy and robustness of kinematic models, particularly in challenging scenarios like unstructured environments or tasks requiring precise manipulation, often employing techniques like visual servoing and deep reinforcement learning with generative models or LSTM-based regressors for improved depth estimation. These advancements are crucial for enabling robots to perform complex tasks autonomously and reliably, impacting fields ranging from industrial automation to assistive robotics.