Papers
10
Total Citations
111
H-Index
5
About
Tao Teng is a leading researcher in robotics and automation, with a primary focus on agricultural robotics, dexterous manipulation, and human-robot collaboration. His work bridges the gap between advanced perception systems and practical robotic applications, particularly in precision agriculture and warehouse automation. Teng's most impactful contribution is his pioneering work on automated robot picking systems for e-commerce fulfillment, which has garnered 33 citations and established foundational methods for warehouse robotics. He has significantly advanced agricultural automation through deep learning-based pruning detection and plant organ segmentation in grapevines (24 citations), addressing critical labor shortages in viticulture. His research on whole-body control for mobile manipulation in vineyard pruning (8 citations) demonstrates practical solutions for unstructured field environments. More recently, Teng has explored cutting-edge areas including language-guided dexterous functional grasping for humanoid robots (16 citations) and robust shared control for bimanual mobile manipulators. His work on fuzzy dynamical systems for learning motion skills from human demonstration (16 citations) and visuo-tactile perception for human-robot cooperation showcases his commitment to intuitive, safe human-robot interaction. With over 100 total citations across his publications, Teng continues to push boundaries in making robots more capable, autonomous, and collaborative in real-world applications.
Research Focus
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