Bio

Gowrishankar Ganesh received his Bachelor of Engineering (first-class, Hons.) degree from the Delhi College of Engineering, India, in 2002 and his Master of Engineering from the National University of Singapore, in 2005, both in Mechanical Engineering. He received his Ph.D. in Bioengineering from Imperial College London, U.K., in 2010. He worked as a Researcher in Human Motor Control in the Lab of Dr. Mitsuo Kawato at the Advanced Telecommunication Research (ATR), Kyoto, Japan, from 2004 and through his PhD. Following his PhD, he worked at the National Institute of Information and Communications Technology (NICT) as a Specialist Researcher in Motor Neuroscience and Robotics till December 2013. Since January 2014, he has joined as a CR1 Researcher at the Centre National de la Recherché Scientifique (CNRS). He is a visiting researcher at the Centre for Information and Neural Networks (CINET) in Osaka, ATR in Kyoto and the Interactive Digital Humans (IDH) team at the Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM) in Montpellier. His research interests include human sensori-motor control and learning, robot control, social neuroscience and robot-human interactions.

Research interests

How should rehabilitation, biomedical and social robots behave such that an interacting human is comfortable with them, feels safe with them and is willing to coexist and learn from them? The answer to this questions is not trivial because human interactions, both with their environment and other humans, have complex dynamics that change not only with an interacting individual’s physiology, age and pathology, but also emotional factors like fear and anxiety, and cognitive factors like the Theory of Mind. The reason we can intuitively interact with a fellow human is because we understand his/her behaviour in all these aspects and respond accordingly, and correspondingly he/she does the same. My research aims to endow machines and robots with similar capabilities to understand humans through the development of _Human Centric Robotics_**. You can read more here.

The publication list may not be complete, especially for publications prior to 2017. We are working on updating it.
Title Authors Conference/Book Year bib pdf
Hierarchical motor adaptations negotiate failures during force field learning T. Ikegami, G. Ganesh, T. Gibo, T. Yoshioka, R. Osu, M. Kawato PLOS Computational Biology 2021
Galvanic Vestibular Stimulation-Based Prediction Error Decoding and Channel Optimization Y. Shi, G. Ganesh, H. Ando, Y. Koike, E. Yoshida, N. Yoshimura International Journal of Neural Systems 2021
Binary Semantic Classification using Cortical Activation with Pavlovian-conditioned Vestibular Responses in Healthy and Locked-in Individuals N. Yoshimura, K. Umetsu, A. Tonin, Y. Maruyama, K. Harada, A. Rana, G. Ganesh, U. Chaudhary, Y. Koike, N. Birbaumer Cerebral Cortex Communications 2021
Individuals Prioritize the Reach Straightness and Hand Jerk of a Shared Avatar over Their Own T. Hagiwara, G. Ganesh, M. Sugimoto, M. Inami, M. Kitazaki iScience 2020
The Tight Game: Implicit Force Intervention in Inter-personal Physical Interactions on Playing Tug of War A. Maekawa, S. Kasahara, H. Saito, D. Uriu, G. Ganesh, M. Inami SIGGRAPH 2020
A Deep Learning Framework for Tactile Recognition of Known as Well as Novel Objects. Z. Abderrahmane, G. Ganesh, A. Crosnier, A. Cherubini IEEE Transactions on Industrial Informatics 2020
Robot Movement Uncertainty Determines Human Discomfort in Co-worker Scenarios D. Héraiz-Bekkis, G. Ganesh, E. Yoshida, N. Yamanobe IEEE International Conference on Control, Automation and Robotics 2020
Activity in the dorsal ACC causes deterioration of sequential motor performance due to anxiety G. Ganesh, T. Minamoto, M. Haruno Nature Communications 2019
The where of handovers by humans: Effect of partner characteristics, distance and visual feedback S. Kato, N. Yamanobe, G. Venture, E. Yoshida, G. Ganesh PLoS One 2019
Accurate Decoding of Material Textures Using a finger Mounted Accelerometer K. Sakurada, G. Ganesh, W. Yu, K. Kita International Conference on Robotics and Biomimetics 2018
Distinct motor contagions during and after observation of actions by a humanoid co-worker A. Vasalya, G. Ganesh, A. Kheddar International Symposium on Robot and Human Interactive Communication 2018
Towards Emergence of Tool Use in Robots: Automatic Tool Recognition and use without Prior Tool Learning K. Tee, J. Li, L. Chen, K. Wan, G. Ganesh IEEE International Conference on Robotics and Automation 2018
Visuo-Tactile Recognition of Daily-Life Objects Never Seen or Touched Before Z. Abderrahmane, G. Ganesh, A. Crosnier, A. Cherubini International Conference on Control, Automation, Robotics and Vision 2018
Force, Impedance and Trajectory Learning for Contact Tooling and Haptic Identification Y. Li, G. Ganesh, N. Jarrasse, S. Haddadin, A. Albu-Schaffer, E. Burdet IEEE Transactions on Robotics 2018
Utilizing sensory prediction errors for movement intention decoding: A new methodology G. Ganesh, K. Nakamura, S. Saetia, A. Tobar, E. Yoshida, H. Ando, N. Yoshimura, Y. Koike Science Advances 2018
Haptic Zero-Shot Learning: Recognition of objects never touched before Z. Abderrahmane, G. Ganesh, A. Crosnier, A. Cherubini Robotics and Autonomous Systems 2018
Humans Can Predict Where Their Partner Would Make a Handover S. Kato, N. Yamanobe, G. Venture, G. Ganesh International Conference on Human-Robot Interaction 2018
More than just co-worker influences human performance A. Vasalya, G. Ganesh, A. Kheddar PLoS One 2018
Haptic communication between humans is tuned by the hard or soft mechanics of interaction A. Takagi, F. Usai, G. Ganesh, V. Sanguineti, E. Burdet PLOS Computational Biology 2018
Prediction error induced motor contagions in human behaviors T. Ikegami, G. Ganesh, T. Takeuchi, H. Nakamoto eLife 2018
Physically interacting individuals estimate the partner's goal to enhance their movements A. Takagi, G. Ganesh, T. Yoshioka, M. Kawato, E. Burdet Nature Human Behaviour 2017
Presence and absence of prediction errors during action observation induce distinct motor contagions. T. Ikegami, G. Ganesh, H. Nakamoto Society for Neuroscience 2017
Hitting the sweet spot: automatic optimization of energy transfer during tool-held hits J. Vogel, N. Takemura, H. Hoppner, P. Van Der Smagt, G. Ganesh IEEE International Conference on Robotics and Automation 2017
Activity in the dorsal ACC causes deterioration of sequential motor performance due to anxiety G. Ganesh, T. Minamoto, M. Haruno Nature Communications 2017
Non-human Looking Robot Arms Induce Illusion of Embodiment L. Aymerich-Franch, D. Petit, G. Ganesh, A. Kheddar International Journal of Social Robotics 2017
Shared Mechanisms in the Estimation of Self-Generated Actions and the Prediction of Other's Actions by Humans T. Ikegami, G. Ganesh eNeuro 2017
Object Touch by a Humanoid Robot Avatar Induces Haptic Sensation in the Real Hand L. Aymerich-Franch, D. Petit, G. Ganesh, A. Kheddar Journal of Computer-Mediated Communication 2017
The second me: seeing the real body during humanoid embodiment produces an illusion of bi-location. L. Aymerich-Franch, D. Petit, G. Ganesh, A. Kheddar Consciousness and Cognition 2016
Dissociable learning processes underlie human pain conditioning S. Zhang, H. Mano, G. Ganesh, T. Robbins, B. Seymour Current Biology 2016
The role of functionality in the body model for self-attribution L. Aymerich-Franch, G. Ganesh Neuroscience Research 2016
Forward modelling the rubber hand: illusion of ownership modifies motor-sensory predictions by the brain L. Aymerich-Franch, D. Petit, A. Kheddar, G. Ganesh Royal Society Open Science 2016
Multiple learning processes underlie human pain conditioning S. Zhang, H. Mano, G. Ganesh, T. Robbins, B. Seymour Current Biology 2016
Beyond Watching: Action understanding by humans and its implications for interacting robots G. Ganesh, T. Ikegami Dance Notations and Robot Motion, in the Springer Tracts in Advanced Robotics 2016
Embodiment of a humanoid robot is preserved during partial and delayed control L. Aymerich-Franch, D. Petit, G. Ganesh, A. Kheddar IEEE International Conference on Advanced Robotics and its Social Impacts 2015
Watching novice action degrades expert’s performance- Evidence that the motor system is involved in action understanding by humans. T. Ikegami, G. Ganesh Nature Scientific Reports 2014
Two is better than one: Physical interactions improve motor performance in humans G. Ganesh, A. Takagi, R. Osu, T. Yoshioka, M. Kawato, E. Burdet Nature Scientific Reports 2014
Immediate tool incorporation processes determine human motor planning with tools. G. Ganesh, T. Yoshioka, R. Osu, T. Ikegami Nature Communications 2014
Immediate tool incorporation processes determine human motor planning with tools G. Ganesh, T. Yoshioka, R. Osu, T. Ikegami Nature Communications 2014
Two is better than one: Physical interactions improve motor performance in humans G. Ganesh, A. Takagi, R. Osu, T. Yoshioka, M. Kawato, E. Burdet Scientific Reports 2014
Watching novice action degrades expert's performance -- Evidence that the motor system is involved in action understanding by humans T. Ikegami, G. Ganesh Scientific Reports 2014
Artificial proprioceptive feedback for myoelectric control T. Pistohl, D. Joshi, G. Ganesh, A. Jackson, K. Nazarpour IEEE Transactions on Neural Systems and Rehabilitation Engineering 2014
Artificial Proprioceptive Feedback for Myoelectric Prosthesis Control T Pistohl, D Joshi, G. Ganesh, A Jackson, K. Nazarpour IEEE Neural Systems & Rehabilitation Engineering 2014
Feeling the force: Returning sensory signals determine effort expenditure during motor coordination G. Ganesh, R. Osu, E. Naito Nature Scientific Reports 2013