Morales Yoichi
Papers
1
Total Citations
5
H-Index
1
About
Morales Yoichi is a leading researcher in assistive robotics and human-robot interaction, with a particular focus on developing autonomous systems that prioritize user comfort and safety. His most cited work, "Human-comfortable Path Planning for an Autonomous Robotic Wheelchair based on Physiological Indices" (2014), introduces a novel approach to path planning that integrates real-time physiological signals—such as heart rate and skin conductance—to adapt wheelchair trajectories for enhanced passenger well-being. This contribution bridges robotics, biomedical engineering, and human factors, offering a paradigm shift from purely efficiency-driven navigation to user-centric mobility solutions. With over 5 citations, his paper has influenced subsequent studies on affective computing in assistive technologies. Yoichi’s research underscores the importance of incorporating human physiological states into autonomous decision-making, paving the way for more empathetic and responsive robotic systems. His work is particularly impactful for students and researchers exploring the intersection of robotics, healthcare, and human-centered design, demonstrating how technology can be tailored to individual needs for improved quality of life.
Research Focus
Key Achievements
Top Papers
- 1