supported by National Natural Science Foundation of China(Grant Nos.61621136008,61327809,61210013,91420302,and 91520201)
Modern computational models have leveraged biological advances in human brain research. This study addresses the problem of multimodal learning with the help of brain-inspired models. Specifically, a unified multimoda...
supported by National Natural Science Foundation of China (Grant Nos. 613278050, 61210013, 91420302, 91520201);Academic of Military Medical Science (AMMS) Innovation Foundation (Grant No. 2015CXJJ020)
Robots should ideally perceive objects using human-like multi-modal sensing such as vision, tactile feedback, smell, and hearing. However, the features presentations are different for each modal sensor. Moreover,the e...
supported by National Natural Science Foundation of China (Grant Nos. 61210013, 61327809, 91420302, 91520201)
In this paper, an effective method for identifying the graspable components of objects with complex geometry is proposed for grasp planning based on human experience. Instead of focusing on individual objects, our met...
supported by Major International(Regional)Joint Research Project,National Natural Science Foundation of China(Grant No.61210013);NSF of China Project Major Instrument,Principal Investigator,National Natural Science Foundation of China(Grant No.61327809)
Robotic grasping has played a fundamental role in the robotic manipulation, while grasping an unknown object is still a challenge. A successful grasp is largely determined by the object representation and the correspo...
supported by National Key Project for Basic Research of China(Grant No.2013CB329403);National Natural Science Foundation of Major International Cooperation Research Projects(Grant No.61210013);Tsinghua Self-innovation Project(Grant No.20111081111);Tsinghua University Initiative Scientific Research Program(Grant No.20131089295)
Lots of tactile sequences can be obtained by using a dexterous hand for grasping different objects. The ability of robotic environmental perception and dexterous manipulation will be significantly improved after these...