CynLr, IISc Join Forces to Advance Brain-Inspired Robotics

05 Sep 2025 CW Team

The research will decode how the brain interprets depth, motion, and object continuity through neural recordings, applying these insights to build robotic vision systems that can adapt to real-world complexity without relying solely on prior training. The collaboration will combine structured research, algorithm development, and training programmes. While IISc’s Vision Lab, led by Prof. SP Arun, will lead neuroscience experimentation, CynLr will contribute infrastructure and real-world robotic problem statements.

Doctoral scholars and early career researchers will also be engaged through sponsored PhD projects, with opportunities for selective recruitment into CynLr’s programmes.

“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 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.”

CynLr’s global collaborations with EPFL and CSEM in Switzerland, along with recognition from the World Economic Forum and UN AI for Good Global Summit, underline its growing international presence. The company continues to seek partnerships with research institutions and startups to strengthen India’s role in deep-tech innovation.

CynLr, a robotics and AI technology company, has partnered with the Indian Institute of Science (IISc) to explore the convergence of neuroscience and robotics. The initiative, titled Visual Neuroscience for Cybernetics, aims to develop robotic perception systems modelled on how the human brain processes vision. The research will decode how the brain interprets depth, motion, and object continuity through neural recordings, applying these insights to build robotic vision systems that can adapt to real-world complexity without relying solely on prior training. The collaboration will combine structured research, algorithm development, and training programmes. While IISc’s Vision Lab, led by Prof. SP Arun, will lead neuroscience experimentation, CynLr will contribute infrastructure and real-world robotic problem statements. Doctoral scholars and early career researchers will also be engaged through sponsored PhD projects, with opportunities for selective recruitment into CynLr’s programmes. “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 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.” CynLr’s global collaborations with EPFL and CSEM in Switzerland, along with recognition from the World Economic Forum and UN AI for Good Global Summit, underline its growing international presence. The company continues to seek partnerships with research institutions and startups to strengthen India’s role in deep-tech innovation.

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