Papers
33
Total Citations
659
H-Index
11
About
Jianwei Zhang is a prominent robotics and artificial intelligence researcher whose work spans human-robot interaction, robotic manipulation, machine learning, and intelligent control systems. Best known for his pioneering contributions to demonstration-based robot control, Zhang's 2016 paper on Multi-LeapMotion sensor-based demonstration for tabletop manipulation tasks garnered 190 citations, showcasing his innovative use of non-contact optical hand tracking to enhance robotic system stability. His complementary work on integrating visual and tactile sensing for object classification and grasp planning further established him as a leader in multimodal robot perception. Zhang's research extends into machine learning, with a widely cited 2023 survey on few-sample learning reflecting his commitment to advancing data-efficient AI techniques. His exploration of reinforcement learning for autonomous robot skill acquisition, combining model-based Q-learning with structural knowledge transfer, demonstrates his interest in enabling robots to learn adaptively and independently. Early contributions in fuzzy controller design using B-spline models and interactive two-arm robotic assembly highlight the breadth and longevity of his career. More recently, Zhang has investigated natural language grounding through object affordance detection, pushing boundaries in human-robot communication. With hundreds of citations across diverse domains, his work continues to meaningfully shape modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2A survey on machine learning from few samples80 citations · 2023
- 3Object Classification and Grasp Planning Using Visual and Tactile Sensing77 citations · 2016
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- 7Interactive assembly by a two-arm robot agent23 citations · 1999
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- 10An hyperreality imagination based reasoning and evaluation system (HIRES)13 citations · 2014