Uriel H. Hernandez-Belmonte
Papers
6
Total Citations
346
H-Index
5
About
Uriel H. Hernandez-Belmonte is a leading researcher in mobile robotics and human-robot interaction, with a focus on autonomous exploration, path planning, and visual perception. His most influential work, "Mobile robot path planning using artificial bee colony and evolutionary programming" (2015), has garnered 293 citations, demonstrating its significant impact on optimizing navigation algorithms for unknown environments. He has advanced multirobot coordination through his 2018 study on distributed exploration based on scene partitioning and frontier selection, which improves efficiency in mapping unknown spaces. In human-robot interaction, Hernandez-Belmonte developed a real-time hand posture recognition system (2016) using visual sensors, enabling intuitive gesture-based control. His innovative approach to novelty detection (2019) employs deep features and evolved filters for specialized robotic inspection tasks, enhancing robots' ability to identify anomalies. Additionally, he has contributed to simulation tools, including a mobile robot simulator using a game development engine (2011) and a realistic map generator (2018), which facilitate algorithm testing and development. Hernandez-Belmonte's work bridges theoretical optimization and practical robotic systems, making him a key figure in advancing autonomous navigation and interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real-Time Hand Posture Recognition for Human-Robot Interaction Tasks18 citations · 2016
- 3
- 4
- 5A Mobile Robot Simulator Using a Game Development Engine5 citations · 2011
- 6Realistic and Automatic Map Generator for Mobile Robots3 citations · 2018