Papers
31
Total Citations
549
H-Index
13
About
Vishwanathan Mohan is a distinguished researcher working at the intersection of cognitive robotics, computational neuroscience, and embodied cognition. His work fundamentally explores how biological principles of motor control, body schema, and social cognition can inform the design of intelligent humanoid robots. Mohan's most influential contribution, his revisitation of the body-schema concept in whole-body postural-focal dynamics (81 citations), deepened our understanding of how the motor system functions as a simulation network underlying both action preparation and cognition. His development of the Passive Motion Paradigm (68 citations) offered a compelling alternative to dominant optimal control frameworks, reshaping how researchers model neural motor control. Beyond theoretical neuroscience, Mohan has made significant practical advances, demonstrating robots capable of drawing shapes, bimanual coordination through biomimetic force-field models, and social interaction for human-robot symbiosis (40 citations). His involvement in the ITALK project bridged language development in humans and robots within a developmental robotics framework. With contributions spanning episodic memory in learning robots, mental simulation, and motor synergies, Mohan's research has profoundly influenced how scientists build cognitively sophisticated, human-inspired robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Passive Motion Paradigm: An Alternative to Optimal Control68 citations · 2011
- 3Teaching a humanoid robot to draw ‘Shapes’48 citations · 2011
- 4Social Cognition for Human-Robot Symbiosis—Challenges and Building Blocks40 citations · 2018
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- 9TOWARDS REASONING AND COORDINATING ACTION IN THE MENTAL SPACE25 citations · 2007
- 10Inference Through Embodied Simulation in Cognitive Robots19 citations · 2013