Papers
6
Total Citations
94
H-Index
4
About
Tao Ni is a robotics and automation researcher whose work spans tele-robotics, virtual reality-based control systems, computer vision, and autonomous vehicle perception. His most influential contributions, developed in the late 2000s, center on tele-operation systems for construction robots, where he pioneered the integration of virtual reality environments with master-slave control architectures. His 2008 paper on construction tele-robot systems with virtual reality (40 citations) and his 2009 follow-up introducing haptic feedback into tele-operation control (35 citations) established him as an early innovator in making remote construction machinery more intuitive and responsive through 3D virtual environments and joystick-based interfaces with force feedback. More recently, Ni has expanded his research into autonomous ground vehicle perception, contributing a GPU-accelerated statistical terrain modeling approach using LiDAR for active suspension preview systems (2022). His broader portfolio also addresses dynamic obstacle detection for industrial robots, structure-from-motion techniques for industrial scene reconstruction, and multi-modal object recognition combining neural networks with force sensing data. With nearly 90 cumulative citations, Ni's career reflects a consistent focus on bridging physical robotics with intelligent sensing and human-machine interaction, making complex robotic systems safer, more perceptive, and more accessible to human operators.
Research Focus
Key Achievements
Top Papers
- 1Construction Tele-robot System With Virtual Reality40 citations · 2008
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- 6Object Recognition Using Multiple Neural Networks and Force Sensing2 citations · 2018