Author

Mohan Viswanathan

University of Essex - Cited by 720 - Computational Neuroscience - Motor Cognition - Neural Networks - Episodic Memory - Low Power VLSI

Biography

Mohan Viswanathan is affiliated to Department of Foods, Nutrition & Dietetics Research, Madras Diabetes Research Foundation, Chennai, India. He is a recipient of many awards and grants for his valuable contributions and discoveries in major area of subject research. His international experience includes various programs, contributions and participation in different countries for diverse fields of study.  His research interests reflect in his wide range of publications in various national and international journals. 
Title
Cited by
Year
Revisiting the body-schema concept in the context of whole-body postural-focal dynamics
P Morasso, M Casadio, V Mohan, F Rea, J ZenzeriFrontiers in human neuroscience 9, 83, 2015201
90
2015
Passive motion paradigm: an alternative to optimal control
V Mohan, P MorassoFrontiers in Neurorobotics 5, 4, 2011201
65
2011
Teaching a humanoid robot to draw ‘Shapes’
V Mohan, P Morasso, J Zenzeri, G Metta, VS Chakravarthy, G SandiniAutonomous Robots 31, 21-53, 2011201
56
2011
Social cognition for human-robot symbiosis—challenges and building blocks
G Sandini, V Mohan, A Sciutti, P MorassoFrontiers in neurorobotics 12, 34, 2018201
45
2018
Perception-action cycle: Models, architectures, and hardware
V Cutsuridis, A Hussain, JG TaylorSpringer Science & Business Media, 2011201
44
2011
A neural mechanism of synergy formation for whole body reaching
P Morasso, M Casadio, V Mohan, J ZenzeriBiological Cybernetics 102, 45-55, 2010201
42
2010
A Neural framework for organization and flexible utilization of episodic memory in cumulatively learning baby humanoids
V Mohan, P Morasso, G SandiniNeural Computation 26 (12), 2014201
28
2014
Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics
V Mohan, A Bhat, P MorassoPhysics of Life Reviews 30, 89-111, 2019201
26
2019
The ITALK project: a developmental robotics approach to the study of individual, social, and linguistic learning
F Broz, CL Nehaniv, T Belpaeme, A Bisio, K Dautenhahn, L Fadiga, ...Topics in cognitive science 6 (3), 534-544, 2014201
26
2014
Inference through embodied simulation in cognitive robots
V Mohan, P Morasso, G Sandini, S KasderidisCognitive Computation 5, 355-382, 2013201
25
2013
Embodied language learning and cognitive bootstrapping: methods and design principles
C Lyon, CL Nehaniv, J Saunders, T Belpaeme, A Bisio, K Fischer, ...International Journal of Advanced Robotic Systems 13 (3), 105, 2016201
14
2016
How past experience, imitation and practice can be combined to swiftly learn to use novel “tools”: Insights from skill learning experiments with baby humanoids
V Mohan, P MorassoBiomimetic and Biohybrid Systems: First International Conference, Living …, 2012201
14
2012
Towards a learnt neural body schema for dexterous coordination of action in humanoid and industrial robots
AA Bhat, SC Akkaladevi, V Mohan, C Eitzinger, P MorassoAutonomous Robots 41 (4), 945-966, 2017201
13
2017
The distribution of rewards in sensorimotor maps acquired by cognitive robots through exploration
V Mohan, P Morasso, G MettaNeurocomputing 74 (17), 3440-3455, 2011201
13
2011
Actions and imagined actions in cognitive robots
V Mohan, P Morasso, G Metta, S KasderidisPerception-Action Cycle: Models, Architectures, and Hardware, 539-572, 2010201
13
2010
Simplifying grasping complexity through generalization of kinaesthetically learned synergies
G Cotugno, V Mohan, K Althoefer, T Nanayakkara2014 IEEE International Conference on Robotics and Automation (ICRA), 5345-5351, 2014201
10
2014
Goal-directed reasoning and cooperation in robots in shared workspaces: an internal simulation based neural framework
AA Bhat, V MohanCognitive computation 10, 558-576, 2018201
9
2018
The body schema: neural simulation for covert and overt actions of embodied cognitive agents
P Morasso, V MohanCurrent Opinion in Physiology 1, 21-225, 2021202
9
2021
Bioinspired approaches for human-centric technologies
R CingolaniSpringer, 2014201
9
2014
Teaching humanoids to imitate ‘shapes’ of movements
V Mohan, G Metta, J Zenzeri, P MorassoArtificial Neural Networks–ICANN 2010: 20th International Conference …, 2010201
8
2010

Referred From: https://scholar.google.it/citations?user=hH1V-0oAAAAJ&hl=en

Cited by
Citations 720
h-index 14
i10-index 20
Open Access Journals