Gabriel Hermosilla
University of Chile, Pontificia Universidad Católica de Valparaíso, Karunya University
Papers
7
Total Citations
138
H-Index
4
About
Dr. Gabriel Hermosilla is a leading researcher in robotics and artificial intelligence, with a primary focus on human-robot interaction (HRI), deep reinforcement learning (DRL), and autonomous navigation. His work bridges the gap between simulation and real-world deployment, particularly for service and environmental robotics. A major contribution is his pioneering use of thermal and visual information for human detection and identification in domestic environments, as demonstrated in his highly cited 2011 paper (65 citations), which laid groundwork for safer, more responsive home robots. He has also advanced the field of robot control through DRL, notably proposing novel algorithms for position control of mobile robots using the OpenAI Gym and CoppeliaSim platforms (2022, 23 citations). Hermosilla’s impact is further evidenced by his development of an easy-to-use DRL library for AI mobile robots in Isaac Sim (2022, 23 citations), making sophisticated simulation tools accessible to engineers. His recent work on Sim-to-Real transfer for beach-cleaning robots (2025, 4 citations) showcases applied innovation, achieving reliable navigation with minimal sensors. Additionally, his comparative study on face recognition using thermal infrared images for HRI (2009, 19 citations) remains influential. Through these achievements, Hermosilla is shaping the future of autonomous, interactive robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Position Control of a Mobile Robot through Deep Reinforcement Learning23 citations · 2022
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- 6RL-Based Sim2Real Enhancements for Autonomous Beach-Cleaning Agents2 citations · 2024
- 7CJ: An intelligent robotic head based on deep learning for HRI2 citations · 2018