About

Jindong Tan is a robotics and autonomous systems researcher whose work spans mobile manipulation, multi-robot coordination, modular robotics, and intelligent control. His foundational contributions to mobile manipulator modeling — particularly his unified dynamic framework treating mobile manipulators as redundant robots — established influential approaches to integrated task planning and control, with seminal papers from 2002 and 2003 accumulating over 150 combined citations. His 2006 work on distributed multi-robot coordination in area exploration (221 citations) remains among his most impactful contributions, advancing how autonomous robot teams efficiently partition and navigate unknown environments. Tan also pioneered the Sambot self-assembly modular robot system (169 citations), demonstrating versatile autonomous modules capable of reconfiguring into diverse robotic structures. His research breadth is notable: from microrobot dynamics for drug delivery and wearable visual-inertial navigation systems to real-time ROS architectures on multi-core processors and deep reinforcement learning for trajectory planning. More recently, Tan has directed attention toward socially relevant applications, including adaptive robotic disinfection in built environments. Across his career, his publications have collectively garnered nearly 1,000 citations, reflecting sustained influence across robotics, human-robot interaction, and autonomous systems research.

Research Focus

Key Achievements

19
H-Index
104
Papers
1,880
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Distributed multi-robot coordination in area exploration
221 citations · 2006
📈 Most Prolific Year: 2004 (13 Papers)
🤝 Key Collaborators: 148
🏛 Institutions: Michigan Technological University, University of Tennessee at Knoxville, Knoxville College, Michigan State University, Capital Normal University, Shenyang Institute of Automation

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 0 days ago