Jose-Maria Munoz
Papers
2
Total Citations
8
H-Index
2
About
Dr. Jose-Maria Munoz is a robotics researcher whose work bridges autonomous navigation and human-robot collaboration. His primary research areas include mobile robot motion planning, sensor-based control, and human-robot interaction systems. Dr. Munoz has made significant contributions to the development of robust frameworks for autonomous robot navigation, particularly through his work on potential field methods combined with polar control—a hybrid approach that enables mobile robots to interpret sensor data and navigate toward goals while avoiding obstacles in dynamic environments. His 2018 paper on this topic, which has accumulated 4 citations, addresses the fundamental challenge of translating noisy sensor information into safe, goal-directed motion. In a parallel line of inquiry, Dr. Munoz has explored creative human-robot collaboration, as demonstrated in his 2017 work on an image-driven drawing system using a NAO robot. This system integrates real-time camera input with robotic control to reproduce images drawn by human operators, showcasing the potential for robots to engage in co-creative tasks. With 4 citations, this work highlights his interest in developing intuitive interfaces for human-robot teamwork. Dr. Munoz’s research offers practical solutions for both industrial and service robotics, advancing the field’s capacity for autonomous decision-making and collaborative interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2Image-driven drawing system by a NAO robot4 citations · 2017