Feilong Pei
Papers
1
Total Citations
26
H-Index
1
About
Dr. Feilong Pei is a leading researcher in human-robot interaction and intelligent robotic systems, with a particular focus on integrating reasoning, perception, and natural language processing into autonomous platforms. His most cited work, “A Human–Robot-Environment Interactive Reasoning Mechanism for Object Sorting Robot” (2017, 26 citations), introduces a groundbreaking system that enables robots to understand and execute tasks through natural language commands while perceiving their 3D environment using Kinect sensors. This research advances the field by creating a distributed processing framework within the Robot Operating System (ROS), allowing robots to reason about objects and actions in real-time. Dr. Pei’s contributions bridge the gap between human intention and robotic execution, making human-robot collaboration more intuitive and efficient. His work has significant implications for manufacturing, logistics, and assistive robotics, where seamless interaction between humans and machines is critical. By combining sensor-based perception with logical reasoning, Dr. Pei has laid the foundation for smarter, more adaptive robots that can operate safely alongside people.
Research Focus
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Top Papers
- 1