Erich Wehrle
Papers
11
Total Citations
469
H-Index
8
About
Erich Wehrle is a leading researcher at the intersection of robotics, mechatronics, and sustainable manufacturing, whose work is shaping the future of human-robot collaboration and energy-efficient automation. His research focuses on three key pillars: energy-saving optimization in robotic systems, psychologically safe human-robot interaction, and natural motion planning for industrial applications. Wehrle’s most impactful work, “A Review on Energy-Saving Optimization Methods for Robotic and Automatic Systems” (207 citations), established foundational strategies for reducing energy consumption in manufacturing, addressing critical environmental and economic challenges. He has pioneered methods for minimizing energy use through regenerative drives and compliant elements (36 citations) and natural motion exploitation (44 citations), demonstrating how cyclic tasks can be performed with significantly lower power demands. In collaborative robotics, Wehrle has made notable contributions to psychological safety, developing variational approaches to minimum-jerk trajectories (49 citations) that ensure robot motions feel intuitive and non-threatening to human coworkers—a critical factor for SME adoption. His multicriteria motion planning work (28 citations) balances smoothness and speed, while his integrated toolbox for unskilled users (7 citations) democratizes access to psychologically less-stressful trajectory planning. With over 460 total citations across his portfolio, Wehrle’s research directly supports Industry 4.0’s vision of efficient, human-centric automation.
Research Focus
Key Achievements
Top Papers
- 1A Review on Energy-Saving Optimization Methods for Robotic and Automatic Systems207 citations · 2017
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- 4Natural Motion for Energy Saving in Robotic and Mechatronic Systems44 citations · 2019
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- 7Energy Expenditure Minimization for a Delta-2 Robot Through a Mixed Approach23 citations · 2019
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