Abstract
dc:description.abstractVision-based robotic manipulation has emerged as a pivotal research area within the field of robotics, leveraging advanced computer vision techniques to enable robots to perceive and interact with their environment autonomously. This thesis explores three critical aspects of vision-based robotic manipulation: Grasp Pose Estimation, Object Pose Estimation, and Affordance Estimation, aiming to enhance the precision and adaptability of robotic systems in unstructured environments.
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
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- LIU ZHIYANG