Geoffrey Taylor
Papers
6
Total Citations
69
H-Index
5
About
Geoffrey Taylor’s research lies at the intersection of computer vision and humanoid robotics, with a focus on enabling robots to perceive and interact with their environments through visual and multi-sensory feedback. His most significant contributions center on 3D object recognition, tracking, and hand-eye coordination for robotic manipulation, as detailed in his highly cited work *Visual Perception and Robotic Manipulation* (2006), which has accumulated over 49 citations across its editions. Taylor also pioneered flexible visual servoing for humanoid robots, developing a self-calibrated framework that overcomes classical challenges like large pose errors and hand-eye calibration—a breakthrough detailed in his 2001 paper (12 citations). His work on multi-sensory synergies (2004) advanced the integration of complementary sensing modes for humanoid platforms, while his stereoscopic light stripe scanning research (2004) tackled interference rejection and calibration for active 3D scanning. Through these contributions, Taylor has shaped how robots perceive depth, track objects, and coordinate actions, laying groundwork for more autonomous and adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Flexible Self-Calibrated Visual Servoing for a Humanoid Robot12 citations · 2001
- 4Visual Perception and Robotic Manipulation12 citations · 2006
- 5MULTI-SENSORY SYNERGIES IN HUMANOID ROBOTICS5 citations · 2004
- 6