3 papers
cs.RO2022
Hierarchical Policy Learning for Mechanical Search
Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann
Retrieving objects from clutters is a complex task, which requires multiple interactions with the environment until the target object can be extracted. These interactions involve e…
cs.RO2021
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives
Zohar Feldman, Hanna Ziesche, Ngo Anh Vien +1
Many possible fields of application of robots in real world settings hinge on the ability of robots to grasp objects. As a result, robot grasping has been an active field of resear…
cs.RO2021
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty
Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche +2
While classic control theory offers state of the art solutions in many problem scenarios, it is often desired to improve beyond the structure of such solutions and surpass their li…