Samannoy Ghosh
Papers
2
Total Citations
10
H-Index
2
About
Samannoy Ghosh is a leading researcher at the intersection of robotics, additive manufacturing, and artificial intelligence. His work focuses on creating intelligent, adaptive robotic systems capable of autonomous navigation in complex, confined environments—a critical challenge for applications in infrastructure inspection, search-and-rescue, and medical exploration. Ghosh’s major contribution lies in integrating reinforcement learning directly into 3D-printed robotic platforms, enabling these machines to discover effective locomotion strategies without prior environmental knowledge or extensive sensing. His most cited work, on a 3D-printed self-learning three-linked-sphere robot, demonstrates a compact, scalable system that can autonomously learn to crawl through tight spaces, adapting its behavior in real-time. This research, published in 2021 and garnering over 10 citations, showcases a paradigm shift from pre-programmed robots to self-optimizing, embodied intelligence. By combining novel fabrication techniques with machine learning, Ghosh is paving the way for a new generation of robots that are not only physically tailored to their tasks but also capable of continuous, autonomous improvement.
Research Focus
Key Achievements
Top Papers
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