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About

Dr. Jianhua Hu is a rising researcher at the intersection of robotics, computer vision, and human-robot interaction. His work centers on three key areas: assistive exoskeleton control, robotic manipulation, and 3D scene understanding. In assistive robotics, Dr. Hu developed the Motion Forecasting Network (MoFCNet), which uses IMU data to predict human motion intention for hip assistive exoskeletons, a critical step toward seamless human-robot collaboration (19 citations). He also pioneered the task of Class Incremental Robotic Pick-and-Place (CIRPAP), enabling robots to learn new object categories with only a few examples while retaining prior skills—a breakthrough for adaptive manufacturing (12 citations). In 3D perception, Dr. Hu introduced the Instance-Augmented Net (IAN) and its successor, Instance-Guided Net (IGN), which dramatically improve 3D instance segmentation in cluttered scenes by filtering out noisy features from neighboring points. These contributions, published in top venues, demonstrate his ability to solve real-world robotics challenges from sensing to action. With a growing citation record and multiple first-author papers in 2023-2024, Dr. Hu is establishing himself as a leading voice in intelligent robotic systems.