Sejoon Huh

HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping

Despite the prevalence of robotic manipulation tasks in various real-world applications of different requirements and needs, there has been a lack of focus on enhancing the adaptability of robotic grasping systems. Most of the current literature constructs models around a single gripper, succumbing