CynLr and IISc Collaborate to Integrate Neuroscience into Robotics for Advanced AI Perception

CynLr, IISc Join Hands to Bring Neuroscience into Robotics

Bengaluru-based robotics and AI company CynLr has partnered with the Indian Institute of Science (IISc) to bridge neuroscience and robotics in a bid to build machines that can perceive and adapt to the real world with human-like flexibility. The collaboration, titled Visual Neuroscience for Cybernetics, will focus on translating how the brain processes depth, motion and object continuity into robotic perception systems. Unlike conventional robots that rely heavily on preprogrammed routines or massive training data, the project aims to create systems that can comprehend and respond to complex, unpredictable environments in real time. "This collaboration is designed to combine real-world complexity with robotic perception from first principles. We are here to build machines

CynLr and IISc Partner to Decode Biological Vision for Real-World Robotics

Through joint research, the partnership will convert neural insights into robotic perception systems, laying foundations for generalized manipulation and Universal Factories. CynLr, a foundational technology building company in Robotics and AI, has announced a strategic collaboration with the Indian Institute of Science (IISc), India's premier science and engineering institution, to explore the intersection of neuroscience and robotics. The initiative, titled Visual Neuroscience for Cybernetics, is focused on developing perception-led robotic systems that adapt to the real world with the same flexibility as the human brain. The research aims to translate core principles from into foundations for robotics. This includes studying how the brain handles depth, motion, and object continuity through neural recordings, and applying those insights to build that do not rely on prior training or preprogrammed routines. The partnership includes structured scientific research, hands-on algorithm development, and training programs that bring together engineering, perception, and neuroscience. CynLr will provide technical infrastructure and real-world problem statements from its robotic stack. IISc's Vision Lab, led by Prof. SP Arun at the Centre for Neuroscience IISc, will lead neuroscience research and experimentation. The research engagement will include doctoral scholars and early career researchers through sponsored PhD projects and will lead to selective recruitment into CynLr's further research programs. CynLr's collaborations with Swiss institutions such as École Polytechnique Fédérale de Lausanne (EPFL) and Centre Suisse d'Électronique et de Microtechnique (CSEM) have focused on pushing the boundaries of visual processing and object manipulation in robotics. The company was onboarded as a Technology Pioneer by the World Economic Forum in 2025, joining a global cohort of thirty-nine innovators, and was invited to present at the United Nations for Good Global Summit. These milestones reflect a growing international interest in 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 . "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 Prof. SP 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." CynLr looks to further collaborate & partner with other startups and research institutions to develop capabilities in areas such as human mimicking imaging sensors, robotics specific compute platforms, skin sensor design, learning algorithms and grasping research. These collaborations extend to supporting robotics supply-chain and advancing fundamental research in robotics. It underlines a shift in how India is seen globally, from a focus on low-cost IT back-office to recognition as a hub for innovation and deep research - a push from 'Make in India' to 'Create in India'. The project is now active and under execution. CynLr is open to engaging with academic institutions working in neuroscience, robotics, machine learning, optics, and human-computer interaction for similar initiatives.