Nejc Likar
Papers
10
Total Citations
212
H-Index
8
About
Nejc Likar is a leading researcher in human-robot collaboration and adaptive control for industrial manipulators. His work centers on enabling safe, intuitive cooperation between humans and bimanual robots, with a focus on compliance adaptation, contact estimation, and learning from demonstration. Likar’s most cited paper, “Human robot cooperation with compliance adaptation along the motion trajectory” (2017, 66 citations), introduces a method for dynamically adjusting robot stiffness during physical human-robot interaction, significantly improving safety and task efficiency. His 2014 paper on external joint torque-based contact estimation (29 citations) provides a foundational technique for detecting contact forces and locations anywhere on a robot’s body, critical for collision avoidance and cooperative manipulation. Likar has also advanced bimanual assembly through adaptive stiffness control and iterative learning frameworks, as seen in his 2016 (21 citations) and 2015 (20 citations) works. His virtual mechanism approach for dual-arm manipulation (2013, 21 citations) offers a novel control paradigm for coordinated tasks. With over 200 total citations, Likar’s contributions have practical implications for manufacturing, particularly in grinding, polishing, and assembly operations where human-robot teamwork is essential.
Research Focus
Key Achievements
Top Papers
- 1
- 2External Joint Torque-Based Estimation of Contact Information29 citations · 2014
- 3Bimanual human robot cooperation with adaptive stiffness control21 citations · 2016
- 4Virtual mechanism approach for dual-arm manipulation21 citations · 2013
- 5Adaptation of bimanual assembly tasks using iterative learning framework20 citations · 2015
- 6Obstacle Avoidance with Industrial Robots16 citations · 2015
- 7
- 8
- 9Adaptive Human Robot Cooperation Scheme for Bimanual Robots8 citations · 2017
- 10