CynLr, IISc Team Up to Develop Robots That Think Like Humans

The partnership will combine structured research, algorithm development, and training programs.

CynLr, IISc Team Up to Develop Robots That Think Like Humans

CynLr, a robotics and AI technology company, has announced a strategic collaboration with the Indian Institute of Science (IISc) to advance research at the intersection of neuroscience and robotics. The initiative, titled Visual Neuroscience for Cybernetics, aims to create perception-led robotic systems that adapt to the real world with the flexibility of the human brain.

The partnership will combine structured research, algorithm development, and training programs. IISc’s Vision Lab, led by Prof. SP Arun at the Centre for Neuroscience, will focus on how the brain encodes visual information, while CynLr will contribute real-world problem statements and technical infrastructure. The engagement will also support PhD scholars and early career researchers, with selective recruitment into CynLr’s research programs.

“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.”
“This is one of those rare opportunities where scientific research can inform practical engineering,” added Prof. SP Arun. “We are excited to partner with CynLr to bring these insights into robotics.”

Founded in 2019 and based in Bangalore, India, CynLr has raised $15.2 million from investors including Pavestone Capital, Athera Venture Partners, Speciale Invest, and InfoEdge’s Redstart Labs. With its Design center in Switzerland and Development center in Bangalore, the company has recently opened its US centre for Business Development.

Its flagship system, CyRo, demonstrates how Object Intelligence can simplify manufacturing and reduce the need for dedicated machines built for single tasks.