Papers
13
Total Citations
374
H-Index
10
About
Carlos Rosales is a leading researcher in robotic manipulation, whose work bridges the gap between theoretical grasp synthesis and practical, human-inspired robotic hands. His major contributions lie in solving the fundamental "configuration problem"—determining exactly how a robotic hand should be positioned and configured to achieve a stable, task-specific grasp. His highly cited 2010 paper on synthesizing grasp configurations with specified contact regions (68 citations) and his 2012 work on feasible, prehensile grasps (64 citations) provide foundational algorithms for this challenge. Rosales has also pioneered the use of human hand motion data to inform robotic design, as seen in his 2011 study on autonomous motion planning based on captured human-like postures (65 citations). His impact extends to soft robotics and tactile exploration, where his 2018 work on touch-based grasp primitives for soft hands (24 citations) explores simplified, intuitive human-to-robot handovers. Notably, he contributed to the development of the CUIK Suite (38 citations), a key software tool for analyzing the complex motions of closed-chain multibody systems. With over 350 total citations across his top ten papers, Rosales’s research provides essential theory and practical tools for creating more dexterous, adaptable, and human-like robotic hands.
Research Focus
Key Achievements
Top Papers
- 1Synthesizing grasp configurations with specified contact regions68 citations · 2010
- 2
- 3On the synthesis of feasible and prehensile robotic grasps64 citations · 2012
- 4The CUIK Suite: Analyzing the Motion Closed-Chain Multibody Systems38 citations · 2014
- 5Study of coordinated motions of the human hand for robotic applications28 citations · 2010
- 6
- 7Finding all valid hand configurations for a given precision grasp23 citations · 2008
- 8
- 9
- 10Active gathering of frictional properties from objects11 citations · 2014