Ambrocio Loredo-Flores
Papers
9
Total Citations
123
H-Index
5
About
Ambrocio Loredo-Flores is a robotics and automation researcher whose work centers on vision-based robot control, path tracking, and human-robot interaction. He is best known for pioneering the application of camera-space manipulation — a calibration-free, vision-based control technique — to industrial robot manipulators operating over arbitrarily curved and large-scale surfaces. His most cited work (34 citations) integrates this uncalibrated vision approach with impedance control to enable sophisticated path-tracking maneuvers, a combination he first explored theoretically in 2010 (18 citations) before extending it to more demanding industrial scenarios. His 2006 algorithm for manufacturing curved surfaces using uncalibrated vision (23 citations) established an influential foundation for flexible, sensor-driven robot programming. Loredo-Flores has also applied genetic algorithms to optimize robot point-allocating tasks, reducing the technical burden on human operators in industrial settings (26 citations). More recently, his research has expanded into safe human-robot interaction, introducing bounded control schemes driven by electromyographic joint torque estimation. Across more than two decades, his cumulative contributions have garnered over 120 citations, making him a notable figure in intelligent industrial robotics and adaptive robot control.
Research Focus
Key Achievements
Top Papers
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- 4A vision-based, impedance control strategy for industrial robot manipulators18 citations · 2010
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- 8Precise and robust large-shape reproduction using uncalibrated vision3 citations · 2009
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