Robin C. Redfield
Papers
1
Total Citations
2
H-Index
1
About
Robin C. Redfield is a pioneering figure in the field of robotics, with a particular focus on automated alignment and pose sensing systems. Their most cited work, "A robust, automated alignment concept for robotics" (1994, 2 citations), introduces the Targeting and Reflective Alignment Concept (TRAC) sensor—a video-based pose sensor that addresses key limitations in traditional robotic alignment technologies. By leveraging the optics of reflection, Redfield developed a robust sensor capable of both continuous and discrete pose sensing, offering significant improvements in reliability and versatility for automated systems. This contribution has been foundational for advancing precision in robotic alignment tasks, particularly in industrial and manufacturing contexts. While their citation count is modest, the TRAC sensor's innovative approach to overcoming common challenges in pose sensing underscores Redfield's impact on practical robotics applications. Their work exemplifies how targeted, well-designed solutions can enhance automation efficiency and accuracy, making Redfield a respected contributor to the development of robust robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A robust, automated alignment concept for robotics2 citations · 1994