Victor M. Becerra
Papers
15
Total Citations
810
H-Index
8
About
Victor M. Becerra is a robotics and control systems researcher whose work spans industrial automation, human-robot collaboration, and biologically inspired computing. His most influential contribution is a landmark 2017 review on safe human-robot collaboration in industrial environments, which has accumulated an impressive 567 citations and has become a key reference in the Industry 4.0 discourse, addressing how intelligent manufacturing can safely integrate human and robotic workers in shared spaces. Becerra has also pioneered unconventional approaches to robot control, notably investigating the use of biological neural cultures as living "brains" for mobile robots — a provocative and forward-thinking research direction documented across multiple papers between 2008 and 2011. His earlier work modernizing the PUMA 560 manipulator through hardware retrofitting and computed torque control demonstrates a strong foundation in classical robotics and control theory, with practical educational applications at the undergraduate level. His interests extend further into visual sensor fusion for robotic safety, bio-inspired navigation, and computational intelligence in aerospace sciences, reflecting a broad and interdisciplinary research profile. With work cited hundreds of times globally, Becerra has made lasting contributions that bridge theoretical control engineering and the emerging frontiers of intelligent, human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Controlling a Mobile Robot with a Biological Brain86 citations · 2010
- 3
- 4Experiments with an In-Vitro Robot Brain27 citations · 2011
- 5Visual sensor fusion for active security in robotic industrial environments22 citations · 2014
- 6Architecture for Neuronal Cell Control of a Mobile Robot19 citations · 2008
- 7
- 8Computational Intelligence in Aerospace Sciences10 citations · 2014
- 9PREDICTIVE COMPUTED-TORQUE CONTROL OF A PUMA 560 MANIPULATOR ROBOT7 citations · 2005
- 10Estimation of Visual Motion Parameters Used for Bio-inspired Navigation7 citations · 2013