Papers
4
Total Citations
26
H-Index
3
About
George Coman is a robotics researcher whose work focuses on developing practical, low-cost solutions for autonomous mobile robots and robotic assistants. His key research areas include real-time obstacle avoidance, swarm-inspired control systems, and affordable robotic platforms for assistive applications. Coman’s most cited paper, “The bubble rebound obstacle avoidance algorithm for mobile robots” (2010, 14 citations), introduces a reactive algorithm designed for low-power microcontrollers, dynamically adjusting a “sensitivity bubble” to enable efficient, real-time navigation. This work stands out for its simplicity and accessibility, making advanced robotics feasible on limited hardware. He also contributed to the development of a double-arm SCARA robot with parallel kinematics (2019, 5 citations), emphasizing virtual prototyping and industrial integration. In “Real-time control of autonomous mobile robots using virtual pheromones” (2009, 4 citations), Coman pioneered a novel approach inspired by biological systems, storing digital pheromones in an environmental map to coordinate robot behavior. Additionally, his early work on a robotic assistant for the elderly (2008, 3 citations) demonstrated a distributed microcontroller system that reduces development costs, highlighting his commitment to accessible, real-world applications. Coman’s research bridges theory and practice, offering scalable solutions for robotics.
Research Focus
Key Achievements
Top Papers
- 1The bubble rebound obstacle avoidance algorithm for mobile robots14 citations · 2010
- 2
- 3Real-time control of autonomous mobile robots using virtual pheromones4 citations · 2009
- 4