Dave Wooden

Boston Dynamics (United States)

Papers

1

Total Citations

57

H-Index

1

About

Dave Wooden’s research lies at the intersection of field robotics, sensor fusion, and autonomous navigation in extreme environments. His most influential work, “Robust multi-sensor, day/night 6-DOF pose estimation for a dynamic legged vehicle in GPS-denied environments,” has earned 57 citations and stands as a landmark contribution to legged locomotion. In this study, Wooden demonstrated a real-time system that enabled a highly capable dynamic quadruped robot to maintain an accurate 6-DOF pose estimate—better than 0.5 meters over every 50 meters traveled—across complex, dynamic outdoor terrain, day or night, and even under camera occlusion. This achievement was critical for advancing the reliability of legged robots in GPS-denied settings, where traditional navigation fails. Wooden’s work directly addressed the challenges of robust state estimation for agile platforms, blending multi-sensor data to overcome environmental variability. His contributions have informed subsequent research in autonomous field robotics, particularly for search-and-rescue and planetary exploration. By proving that dynamic legged vehicles can navigate long distances with high precision under real-world conditions, Wooden has helped pave the way for more resilient, perception-driven robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
57
Total Citations
57
Avg Citations/Paper
🏆 Most Cited Paper
Robust multi-sensor, day/night 6-DOF pose estimation for a dynamic legged vehicle in GPS-denied environments
57 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Boston Dynamics (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago