Cartesian Pose

Cartesian pose estimation focuses on determining the three-dimensional position and orientation of an object in space, a crucial task in robotics, virtual reality, and other fields. Current research emphasizes efficient algorithms for pose estimation using diverse sensor data, including cameras, IMUs, and radar, often incorporating deep learning techniques like deep reinforcement learning and object detection networks for improved accuracy and speed. These advancements are driving progress in areas such as teleoperation, autonomous navigation, and the simulation of complex physical interactions, particularly in challenging environments like space.