Robert Bevec
Papers
8
Total Citations
67
H-Index
4
About
Robert Bevec is a leading researcher in reconfigurable robotics and flexible manufacturing systems, with a focus on enabling small and medium enterprises (SMEs) to adopt automation for small-batch production. His major contributions center on developing hardware and software architectures that allow robot workcells to rapidly adapt to new tasks without costly downtime. His most-cited work, "Rapid hardware and software reconfiguration in a robotic workcell" (26 citations), demonstrates how to minimize changeover time in dynamic production environments. Bevec also pioneered reconfigurable fixtures based on Gough-Stewart platforms for automotive light assembly (12 citations) and integrated visual inspection and error detection into these flexible systems (12 citations). Beyond manufacturing, he has advanced autonomous robot learning through interactive perception and foveated vision, enabling robots to build object models via pushing, grasping, and in-hand manipulation—work that has garnered attention in the robotics community. His achievements include developing kinesthetic guidance for multi-robot calibration and contributing to object learning without prior knowledge, making him a key figure in bridging industrial automation and autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1Rapid hardware and software reconfiguration in a robotic workcell26 citations · 2017
- 2Reconfigurable fixture evaluation for use in automotive light assembly12 citations · 2017
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- 5Object Learning through Interactive Manipulation and Foveated Vision4 citations · 2013
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