Felipe Trujillo-Romero
Technological University of the Mixteca, Universidad de Guanajuato
Papers
7
Total Citations
114
H-Index
4
About
Felipe Trujillo-Romero is a pioneering researcher at the intersection of assistive robotics and human-robot interaction, with a particular focus on making technology accessible to people with disabilities. His work spans three key areas: multimodal emotion recognition, inclusive communication interfaces, and intelligent path planning for service robots. His most impactful contribution is his 2016 paper on "Multimodal emotion recognition with evolutionary computation for human-robot interaction," which has garnered 72 citations and demonstrates how evolutionary algorithms can enable robots to interpret human emotional states through multiple sensory channels. Trujillo-Romero has also made significant strides in accessibility, developing a control system for service robots using Mexican Sign Language (17 citations) and creating speech-based interaction systems specifically designed for Mexican individuals with dysarthria—a motor speech disorder (10 citations). His technical expertise extends to optimization algorithms, as evidenced by his comparative study of Genetic Algorithms and Artificial Bee Colony for mobile robot path planning (7 citations). Through his modular object recognition system for humanoid robots (4 citations), Trujillo-Romero continues to advance the practical deployment of service robots in real-world environments, ensuring that robotic assistance is both intelligent and inclusive.
Research Focus
Key Achievements
Top Papers
- 1
- 2Control of a Service Robot Using the Mexican Sign Language17 citations · 2011
- 3
- 4
- 5
- 6
- 7