Hector Daniel Rico-Aniles
Papers
1
Total Citations
7
H-Index
1
About
Héctor Daniel Rico-Aniles is a researcher in robotics and autonomous systems, with a focus on motion planning and control. His key research areas include collision-free path planning, homotopy-based algorithms, and robotic arm manipulation. His most cited work, "A Novel Collision-Free Homotopy Path Planning for Planar Robotic Arms" (2022), introduces an innovative homotopy-based algorithm that enables efficient and feasible path planning for planar robotic arms, addressing a critical challenge in autonomous and semi-autonomous robot motion. This contribution has garnered 7 citations, reflecting its relevance in advancing smart motion algorithms. Rico-Aniles’ work bridges theoretical homotopy concepts with practical robotics applications, offering a novel approach to navigating complex environments without collisions. His research is particularly valuable for students and engineers developing autonomous systems, as it provides a foundation for more adaptive and intelligent robotic motion. Through this work, he contributes to the broader goal of enhancing robot autonomy in industrial and service settings.
Research Focus
Key Achievements
Top Papers
- 1A Novel Collision-Free Homotopy Path Planning for Planar Robotic Arms7 citations · 2022