David Cannon
Papers
17
Total Citations
435
H-Index
11
About
David Cannon is a pioneering researcher in robotic manipulation and human-robot interaction, with key contributions spanning cable array robotics, virtual reality-based telerobotics, and intelligent assembly systems. His most influential work focuses on the dynamic analysis and control of cable array robotic cranes, where he developed novel approaches for offshore cargo handling under challenging sea conditions, demonstrating how multiple actuated cables can suppress payload oscillations—a problem that had long plagued maritime operations. His papers on this topic, including "Dynamic analysis of the cable array robotic crane" (69 citations) and "Optimal force distribution applied to a robotic crane with flexible cables" (57 citations), remain foundational references in the field. Cannon also advanced virtual reality-based supervisory control, notably through the "point-and-direct" paradigm, which integrated instrumented gloves and video gestures to allow intuitive robot guidance for inspection tasks. His work on the virtual end-effector pointing system (39 citations) and collaborative control environments (30 citations) helped bridge the gap between human operators and robotic systems, making programming more accessible. With over 350 total citations across his career, Cannon’s research has had lasting impact on both maritime robotics and human-robot collaboration, earning recognition for its practical, industry-oriented solutions.
Research Focus
Key Achievements
Top Papers
- 1Dynamic analysis of the cable array robotic crane69 citations · 2003
- 2The cable array robot: theory and experiment63 citations · 2002
- 3Optimal force distribution applied to a robotic crane with flexible cables57 citations · 2002
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- 6Virtual Tools for Supervisory and Collaborative Control of Robots30 citations · 1997
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