CyLnr to develop real-world solutions, use neuroscience for robotics
The initiative titled Visual Neuroscience for Cybernetics will study the manner in which the brain processes depth, motion, and object continuity through neural recordings, and these will then be applied to robotic vision systems that do not rely ...

The initiative titled Visual Neuroscience for Cybernetics will study how the brain processes depth, motion, and object continuity through neural recordings and apply those insights to robotic vision systems that do not rely on prior training or preprogrammed routines.
CynLr will provide technical infrastructure and real-world problem statements from its robotic stack. IISc’s Vision Lab, led by Professor SP Arun at the Centre for Neuroscience, will lead neuroscience research and experimentation.
“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 NA, 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.”
The research team will include doctoral scholars and early career researchers through sponsored PhD projects, leading to selective recruitment into CynLr’s further research programmes, the startup said.
“This is one of those rare opportunities where scientific research can inform practical engineering,” said Professor 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. CynLnr was featured by the World Economic Forum (WEF) as one of the 10 Indian startups among its 2025 cohort of 100 Technology Pioneers. The list recognised emerging companies building breakthrough solutions across sectors earlier in June.
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