Ugo Cupcic
Papers
5
Total Citations
41
H-Index
3
About
Ugo Cupcic’s research lies at the intersection of dexterous robotic manipulation, human-robot interaction, and teleoperation. His most influential work focuses on the complex challenge of mapping human thumb motions to humanoid robot hands—a critical problem for achieving natural, precise grasping. In his 2014 paper (25 citations), he developed an optimization-based kinematic mapping and calibration approach that accounts for the thumb’s intricate structure, enabling more accurate teleoperation and better use of tactile sensors. His earlier 2011 work (7 citations) laid the groundwork by using CyberGlove® input to teleoperate the Shadow® Dexterous Hand™. Cupcic has also contributed to friction compensation strategies for robotic hands (2012, 5 citations) and demonstrated the reusability of ROS-based software architectures for in-hand manipulation within the European HANDLE project (2014, 3 citations). Most recently, his 2024 study (1 citation) explores how humans use nonverbal behaviors to challenge interactive agents, advancing the design of more believable robots. With a career spanning foundational hardware calibration to cutting-edge social robotics, Cupcic’s work continues to shape how robots perceive, grasp, and interact with the world.
Research Focus
Key Achievements
Top Papers
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