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Towards Human-level Intelligence via Human-like Whole-Body Manipulation
Guang Gao, Jianan Wang, Jinbo Zuo +9
Building general-purpose intelligent robots has long been a fundamental goal of robotics. A promising approach is to mirror the evolutionary trajectory of humans: learning through…
Learning Autonomous Ultrasound via Latent Task Representation and Robotic Skills Adaptation
Xutian Deng, Junnan Jiang, Wen Cheng +1
As medical ultrasound is becoming a prevailing examination approach nowadays, robotic ultrasound systems can facilitate the scanning process and prevent professional sonographers f…
PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM
Yuyang Tu, Junnan Jiang, Shuang Li +3
Accurate estimation of the relative pose between an object and a robot hand is critical for many manipulation tasks. However, most of the existing object-in-hand pose datasets use…
Improving Robotic Grasping Ability Through Deep Shape Generation
Junnan Jiang, Yuyang Tu, Xiaohui Xiao +4
Data-driven approaches have become a dominant paradigm for robotic grasp planning. However, the performance of these approaches is enormously influenced by the quality of the avail…