Somajyoti Majumder
Central Mechanical Engineering Research Institute, The University of Sydney
Papers
11
Total Citations
63
H-Index
5
About
Somajyoti Majumder is a robotics researcher whose work spans several interconnected domains, including subterranean and amphibian robotics, micro-manipulation systems, autonomous exploration, and aerial vehicle control. He is perhaps best known for his pioneering contributions to underground mine robotics, particularly his development of amphibian subterranean robots capable of operating in post-flooding mine environments — a notably underexplored application area that earned his 2013 paper 20 citations. His 2016 work on compliant piezoelectric micro grippers for robotic micro assembly (12 citations) demonstrated his versatility, addressing precision challenges in miniaturized robotic systems. Majumder has also contributed to intelligent learning frameworks, applying reinforcement learning and multi-agent Q-learning to autonomous robot exploration, reflecting a strong interest in behavior-based and self-modeling robotic systems. His research extends further into rotary-wing aerial vehicles and gaze-estimation-based human-computer interaction. Across more than a decade of publications, Majumder has consistently addressed real-world engineering challenges — from hazardous mine environments to delicate micro-scale assembly — making his body of work particularly valuable for researchers working at the intersection of applied robotics, machine learning, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Amphibian subterranean robot for mine exploration20 citations · 2013
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- 5Design of an Amphibian Exploring Robot5 citations · 2014
- 6A learning based approach to self modeling robots4 citations · 2014
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- 9Attitude Controller for Steady Hover of a Rotary-Wing Flying Robot2 citations · 2013
- 10Human-like gradual learning of a Q-learning based Light exploring robot2 citations · 2010