Nikhil Churamani
Senior AI Scientist
Medtronic Digital Surgery
Visiting Researcher
Department of Computer Science and Technology
University of Cambridge
230 City Rd
London EC1V 2QY, UK
I work as a Senior AI Scientist at Medtronic Digital Surgery working on Medical Image analyses and Digital Surgery solutions.
Previously, I was a Post-Doctoral Research Associate at the Computer Laboratory, University of Cambridge, working with Prof Hatice Gunes at the Affective Intelligence and Robotics (AFAR) Lab. My research focussed on Continual Learning for Social and Affective Robots, aimed towards enabling lifelong adaptability in robots operating in real and open-world settings. In particular, my work focused on embedding robots with a personalised and continually adaptive understanding of human behaviour, allowing them to learn socially and contextually appropriate behaviours in human-centred environments.
My post-doctoral work, funded by Google under the GIG Grant, focused on Federated Continual Learning of Socially Appropriate Robot Behaviours
where I was exploring how social robots can adapt to differences in social norms, learning from each others’ experience, in a federated manner.
I completed my PhD at Trinity Hall, University of Cambridge. My doctoral work titled, Continual Learning for Affective Robotics was funded by the EPSRC International Doctoral Scholarship and the Premium Research Studentship of the Computer Lab, University of Cambridge. My other research interests include Deep Learning, Computer Vision, Neuro-inspired AI, and Human-Robot Interaction.
I completed my MSc in Intelligent Adaptive Systems from Universität Hamburg where I was supervised by Prof Dr Stefan Wermter. My MSc dissertation titled, Modelling Affective Cores for Behaviour Modulation in Social Robots, advised by Dr Pablo Barros, focused on embedding intrisic affective motivations in social robots as an Affective Core that enables different personalities in their behaviour modelling in Human-Robot collaborative tasks.
news
Mar 11, 2024 | Two papers at the ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2024: Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI): Open-World Learning and Causal-HRI: Causal Learning for Human-Robot Interaction. |
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Mar 10, 2024 | Paper accepted at the LEAP-HRI Workshop at the ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2024: Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments. |
Feb 27, 2024 | Happy to announce the Dungeons Neurons and Dialogues Workshop to be held at IEEE International Conference on Affective Computing and Intelligent Interaction (ACII) 2024. |
Dec 2, 2023 | Happy to announce the Causal-HRI Workshop to be held at ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2024. |
Dec 2, 2023 | Happy to announce the Leap-HRI Workshop to be held at ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2024. |