Papers
17
Total Citations
997
H-Index
9
About
Ashis G. Banerjee is a multidisciplinary robotics researcher whose work spans natural language processing for autonomous systems, micromanipulation, human-robot collaboration, and visual perception. His most influential contribution, "Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation" (2011, 674 citations), introduced a flexible probabilistic model enabling robots to interpret and act upon complex human instructions in semi-structured environments — a landmark advance in grounded language understanding for robotics. He later extended this framework through generalized grounding graphs, deepening the field's theoretical foundations. Banerjee has also made substantial contributions to microscale robotics, pioneering automated planning and control strategies for optical tweezers-based manipulation of biological cells and MEMS components. His survey on indirect optical manipulation (73 citations) remains a key reference in the field. More recently, his research has expanded into industrial and practical applications, including multi-robot scheduling for aircraft assembly, warehouse kitting ontologies for human-robot teams, topological feature-based object recognition, and marine vessel inspection robotics. Collectively, his work bridges fundamental algorithmic research with real-world deployment, making him a distinctive voice across robotics subfields with over 900 citations to his name.
Research Focus
Key Achievements
Top Papers
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- 3Research in Automated Planning and Control for Micromanipulation59 citations · 2013
- 4Optical Tweezers: Autonomous Robots for the Manipulation of Biological Cells52 citations · 2014
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