Arunabha Ghosh
Papers
1
Total Citations
2
H-Index
1
About
Arunabha Ghosh is a robotics researcher whose work focuses on integrating optical sensing and autonomous decision-making into mobile robotic platforms. His key research areas include optical response systems, self-navigating robotics, and sensor-driven path planning. Ghosh’s major contribution is the design of a Rapid Optical Response Trigger (RORT), a system that enables robots to perceive their environment and make real-time navigational decisions using limited sensor inputs—mimicking human-like logical reasoning. This approach bridges the gap between sparse sensory data and complex autonomous behavior, offering a cost-effective solution for path-explorer robots. While his most-cited paper, “Designing a Rapid Optical Response Trigger (RORT) for self-navigating and path explorer robot” (2020), has garnered 2 citations, its conceptual novelty has laid groundwork for further exploration in efficient, sensor-light robotics. Ghosh’s work is notable for its emphasis on bio-inspired reasoning, where machines emulate human decision-making by combining environmental perception with prior knowledge. For students and researchers, his research offers a compelling entry point into the challenges of autonomous navigation and the potential of optical triggers in robotics.
Research Focus
Key Achievements
Top Papers
- 1