Papers
65
Total Citations
2,407
H-Index
25
About
Luka Peternel is a leading robotics researcher whose work sits at the intersection of human-robot collaboration, adaptive control, and ergonomics. His research focuses on enabling robots to intelligently respond to human physiology and biomechanics, particularly in shared manipulation tasks. Peternel's most cited contribution, a 2023 tutorial survey on dynamic movement primitives (205 citations), has become a foundational reference for researchers studying biologically inspired robot learning. His highly influential work on exoskeleton control (166 citations) demonstrated how EMG-based feedback minimization could create adaptive assistive systems that naturally reduce user muscle effort — a breakthrough for rehabilitation and augmentation technologies. A recurring theme throughout Peternel's portfolio is protecting human workers from physical harm. His studies on fatigue management, joint overloading prevention, and ergonomic co-manipulation — collectively accumulating hundreds of citations — have shaped how collaborative robots are designed for industrial environments. His 2017 papers on human sensorimotor information integration (141 citations) and fatigue-adaptive co-manipulation (181 citations) established principled frameworks linking human motor science directly to robot control architecture. With over 1,300 citations across his top works alone, Peternel's research has meaningfully advanced the vision of robots as genuinely responsive, human-aware collaborative partners.
Research Focus
Key Achievements
Top Papers
- 1Dynamic movement primitives in robotics: A tutorial survey205 citations · 2023
- 2Robot adaptation to human physical fatigue in human–robot co-manipulation181 citations · 2017
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- 4A Human–Robot Co-Manipulation Approach Based on Human Sensorimotor Information141 citations · 2017
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