Papers
85
Total Citations
2,140
H-Index
23
About
Bojan Nemec is a prominent robotics researcher whose work sits at the intersection of robot learning, motion planning, and human-robot interaction. He is best known for his extensive contributions to **dynamic movement primitives (DMPs)**, a mathematical framework enabling robots to learn, adapt, and generalize complex motor behaviors. His highly cited 2014 papers on Cartesian-space orientation in DMPs (217 citations) and coupling movement primitives for bimanual tasks (210 citations) addressed fundamental limitations in the field, allowing robots to operate more fluidly in real-world environments involving physical contact and coordinated manipulation. Nemec has also made significant strides in **learning from demonstration**, developing methods that enable robots to acquire assembly skills — such as peg-in-hole insertion — through human guidance, including exception-handling strategies for robustness. His research on force-adaptive manipulation and compliance along motion trajectories reflects a deep commitment to safe, effective human-robot collaboration. Further contributions span cognitive architectures for semantic understanding of assembly tasks and action sequencing across multiple movement primitives. With a body of work accumulating well over 1,000 citations, Nemec has established himself as a key figure shaping how modern robots learn from humans and adapt intelligently to their surroundings.
Research Focus
Key Achievements
Top Papers
- 1Orientation in Cartesian space dynamic movement primitives217 citations · 2014
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- 5Solving peg-in-hole tasks by human demonstration and exception strategies78 citations · 2014
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- 7Teaching a Robot the Semantics of Assembly Tasks64 citations · 2017
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- 10Action sequencing using dynamic movement primitives59 citations · 2011