Papers

11

Total Citations

124

H-Index

6

About

Amitabha Mukerjee is a pioneering robotics and artificial intelligence researcher whose work spans robot learning, autonomous systems, and constructivist education, with contributions stretching across four decades. Based at IIT Kanpur, he has made significant strides in understanding how robotic systems can adapt and self-calibrate, most notably through his highly cited 2005 work on self-calibration in robot manipulators, which developed practical methods for accurate plant modeling essential to open-loop control strategies, accumulating 64 citations. His early foundational research explored biologically inspired learning, including neural network-based motion mapping in robot arms and models of sensory-motor adaptation drawn from biological systems — work that presaged modern neuromorphic robotics. Mukerjee has also critically examined the limitations of behavior-based robotics, formally characterizing conflicts among modular robot behaviors and drawing thought-provoking parallels between reactive robot systems and human amnesic behavior. Beyond pure research, he demonstrated a commitment to transformative education through his constructivist initiative at IIT Kanpur, integrating hands-on robot-building into Indian school curricula to combat rote learning. His interdisciplinary vision — connecting cognition, spatial reasoning, evolutionary computation, and pedagogy — marks him as a uniquely broad and humanistically motivated contributor to robotics science.

Research Focus

Key Achievements

6
H-Index
11
Papers
124
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Self-calibration in robot manipulators
64 citations · 2005
📈 Most Prolific Year: 2002 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Rochester, Indian Institute of Technology Kanpur, Texas A&M University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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