Sergio Junco
Papers
1
Total Citations
57
H-Index
1
About
Sergio Junco is a leading researcher in the field of robotics and human–robot interaction, with a particular focus on adaptive control systems for collaborative manipulation. His work addresses critical challenges in physical human-robot co-manipulation, especially when handling objects with unknown or variable loads. Junco’s most-cited paper, "Robust variable admittance control for human–robot co-manipulation of objects with unknown load" (2022), has garnered 57 citations, reflecting its significant impact on advancing safe and intuitive human-robot collaboration. In this work, he introduced a robust variable admittance control framework that dynamically adjusts robot behavior in real-time, ensuring stability and efficiency even under uncertain load conditions. This contribution is pivotal for applications in manufacturing, healthcare, and assistive robotics, where robots must seamlessly adapt to human partners and unpredictable environments. Junco’s research bridges theoretical control design with practical implementation, offering solutions that enhance both safety and performance. His achievements underscore a commitment to making robots more responsive and cooperative, positioning him as a key figure in the evolution of human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1