Mauricio Araya

Daikin (Japan), Federico Santa María Technical University

Papers

Total Citations

H-Index

About

Mauricio Araya’s research lies at the intersection of robotics, assistive technology, and bio-inspired autonomous navigation. His most cited work, “Development of a robot to assist patient transfer” (2005, 23 citations), addresses a critical challenge in healthcare robotics: enabling a single nurse to safely transfer weak, injured, or paralyzed patients between bed and stretcher. This system not only reduces physical strain on caregivers but also minimizes patient discomfort and anxiety, demonstrating Araya’s commitment to human-centered robotic design. More recently, Araya has advanced autonomous navigation through his 2019 work on a “Retina-inspired Visual Module for Robot Navigation in Complex Environments” (5 citations). By integrating principles from biological vision with reinforcement learning, he has developed architectures that allow robots to learn optimal behaviors in unpredictable settings—a key step toward more adaptive and resilient autonomous agents. Though his citation counts are modest, Araya’s contributions bridge practical assistive robotics with cutting-edge bio-inspired AI, offering valuable insights for researchers working on real-world robot deployment in healthcare and dynamic environments.