John Wood

University of New Mexico, University of Utah

Papers

19

Total Citations

378

H-Index

10

About

John Wood is a leading researcher in industrial robotics and cooperative multi-robot systems, with a career defined by innovations in robot calibration, payload transport, and heterogeneous wireless networks. His most impactful contribution is the virtual closed kinematic chain (ViCKi) method for calibrating industrial robots, which magnifies errors on a distant plane to overcome measurement resolution limits—a technique detailed in his most cited paper (76 citations). Wood also pioneered rapid swing-free transport of nonlinear payloads using dynamic programming (57 citations), addressing residual vibration in suspended loads with a nonlinear optimization approach. His work on cooperative heterogeneous mobile wireless mechatronic systems (62 citations) established a framework for controlling mixed teams of aerial and ground vehicles, while his adaptive coverage control algorithm (24 citations) extended sensor deployment to nonholonomic robots. With over 300 total citations across ten key papers, Wood’s research bridges theory and industrial application, notably in radiation mapping and prioritized sensor detection. His achievements include developing cooperative motion strategies for standard industrial controllers, making advanced multi-robot coordination accessible to manufacturing.

Research Focus

Key Achievements

10
H-Index
19
Papers
378
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
An Automated Method to Calibrate Industrial Robots Using a Virtual Closed Kinematic Chain
76 citations · 2007
📈 Most Prolific Year: 2007 (4 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: University of New Mexico, University of Utah

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 · 13 days ago