Tobias Wood

Papers

2

Total Citations

6

H-Index

2

About

Tobias Wood’s research career spans pioneering work in field robotics and surgical simulation. His early contributions include co-authoring “Mine Mapping by a Robot with Acoustic Sensors” (1985), a foundational paper in autonomous mapping that demonstrated how robots equipped with sonar could navigate and reconstruct hazardous underground environments. This work, cited 4 times, helped establish principles for robotic perception in unstructured settings. More recently, Wood has focused on medical training technology, co-authoring “Robot-assisted training – expert performance in full immersion simulation, setting the benchmark (concurrent validity)” (2016). This study validated the use of high-fidelity robotic simulators for assessing surgical expertise, providing a benchmark for objective performance metrics in full-immersion environments. While his citation counts remain modest, Wood’s work bridges two critical domains: early autonomous navigation and modern simulation-based education. His career reflects a commitment to applying robotic systems to real-world challenges, from underground mapping to surgical training, demonstrating how foundational robotics concepts can evolve into practical tools for human skill development.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Mine Mapping by a Robot with Acoustic Sensors
4 citations · 1985
📈 Most Prolific Year: 1985 (1 Papers)
🤝 Key Collaborators: 13

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago