CynLr, a technology company focused on robotics and artificial intelligence, has announced a strategic partnership with the Indian Institute of Science to explore how neuroscience can inform the future of robotics. The initiative, named Visual Neuroscience for Cybernetics, is aimed at building robotic systems that can adapt to real world environments with the same flexibility as the human brain.
The project seeks to translate principles of neuroscience into robotics, studying how the brain processes depth, motion, and object continuity through neural recordings. These insights will then be applied to design robotic vision systems that do not depend on prior training or preprogrammed instructions.
The partnership will combine scientific research, algorithm development, and training programmes that integrate engineering, perception, and neuroscience. CynLr will contribute technical infrastructure and practical problem statements from its robotic stack, while IISc’s Vision Lab, led by Professor S P Arun at the Centre for Neuroscience, will lead neuroscience research and experimentation.
The collaboration will also support doctoral scholars and young researchers through sponsored PhD projects, with opportunities for selective recruitment into CynLr’s research programmes.
CynLr has also worked with international institutions such as École Polytechnique Fédérale de Lausanne and Centre Suisse d’Électronique et de Microtechnique on visual processing and robotic object manipulation. In 2025, the company was recognised as a Technology Pioneer by the World Economic Forum and invited to present at the United Nations AI for Good Global Summit. These milestones reflect global recognition of its work on Object Intelligence and Universal Factories.
“Robotic systems that operate in the real world cannot rely solely on training data. They must be able to perceive, remember, and act, much like biological organisms do,” said Gokul N A, founder of CynLr. “This collaboration is designed to combine real world complexity with robotic perception from first principles. We are here to build machines that do not just see but comprehend. Our work with IISc represents a deliberate investment into that vision.”
“This is one of those rare opportunities where scientific research can inform practical engineering,” said Professor S P Arun. “At our lab, we study how the brain encodes visual information through neural recordings in primates as well as cognitive neuroscience in humans. We are excited to partner with CynLr to bring these insights into robotics. The structure of this partnership gives us a unique pathway to translate fundamental neuroscience into practical robot perception.”
Looking ahead, CynLr plans to work with other startups and research organisations on areas such as imaging sensors, robotics specific compute platforms, skin sensor design, learning algorithms, and grasping research. These efforts also extend to strengthening the robotics supply chain and advancing fundamental research. This reflects a shift in India’s global position, from being recognised mainly for cost effective IT services to being seen as a hub for innovation and deep research, moving from ‘Make in India’ to ‘Create in India’.
The project is now underway, and CynLr has invited academic institutions in fields such as neuroscience, robotics, machine learning, optics, and human computer interaction to collaborate on similar initiatives.
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