Bernard Schmidt

University of Skövde

Papers

18

Total Citations

666

H-Index

11

About

Bernard Schmidt is a prominent researcher at the intersection of robotics, human-robot collaboration, and sustainable manufacturing. His work has garnered significant scholarly attention, with his most-cited paper, "Active Collision Avoidance for Human–Robot Collaboration Driven by Vision Sensors" (2016), accumulating 193 citations and establishing him as a leading voice in safe, vision-guided robotic systems. Schmidt's research trajectory reflects a dual focus: making robots safer to work alongside humans and making them more energy-efficient in industrial settings. His pioneering contributions to collision avoidance — spanning contact-less collaboration frameworks, depth camera integration, and augmented environment sensing — have fundamentally advanced how robots and humans can share workspaces without physical barriers or complex programming. Simultaneously, his investigations into energy minimization for robot arm movement and energy-efficient configurations have addressed the growing sustainability demands of modern manufacturing, including cloud-enabled robotic assembly optimization. More recently, Schmidt has extended his expertise into intelligent decision-making, applying Monte Carlo Tree Search algorithms to dynamic factory environments — reflecting his adaptability as a researcher. Collectively, his work, totaling over 630 citations, offers both theoretical rigor and practical solutions that continue to shape the future of smart, collaborative industrial robotics.

Research Focus

Key Achievements

11
H-Index
18
Papers
666
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Active collision avoidance for human–robot collaboration driven by vision sensors
193 citations · 2016
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: University of Skövde

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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