Tianding Chen

About

Tianding Chen is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and human-robot interaction. His most influential contributions focus on enabling mobile robots to perceive and move through indoor environments with limited, low-cost hardware. In his highly cited 2011 papers, Chen pioneered the use of ZigBee wireless sensor networks for robot positioning and navigation, and developed monocular vision techniques for corridor navigation and obstacle distance estimation—both achieving 15 citations each. These foundational works demonstrate his ability to solve practical navigation challenges without expensive equipment. Chen has also explored dynamic gesture recognition for real-time human-robot interaction, and more recently, fast mapping methods using single-line LiDAR for small mobile robots. His research trajectory reflects a consistent commitment to accessible, efficient solutions for autonomous systems, making significant contributions to the fields of mobile robotics, SLAM, and sensor-based navigation.

Research Focus

Key Achievements

Top Papers

1. 1
   ZigBee-based Positioning and Navigation System for Robot

   15 citations · 2011
2. 2
   Corridor Navigation and Obstacle Distance Estimation for Monocular Vision Mobile Robots

   15 citations · 2011
3. 3
   An Approach to Dynamic Gesture Recognition for Real-Time Interaction

   6 citations · 2009
4. 4
   A fast mapping for small mobile robot scanned by single line Lidar

   2 citations · 2022

Key Collaborators

Contact & Links