Skild AI: Indian-origin founders develop ‘General-Purpose Brain’ for robots

The company aims to create a ‘general-purpose brain’ for robots, addressing a critical gap between sophisticated language models and practical, actionable understanding.

Skild AI, a pioneering robotics AI startup founded by two Indian-origin professors based in the United States, is setting a new benchmark in artificial intelligence. The company aims to create a ‘general-purpose brain’ for robots, addressing a critical gap between sophisticated language models and practical, actionable understanding.

The startup was co-founded by Dr. Priya Mehta and Dr. Rajesh Kumar, both esteemed professors in AI and robotics. Their vision is to enhance the utility of robots by integrating advanced language models with practical reasoning capabilities, something current systems from tech giants like OpenAI and Google have yet to fully achieve.

While existing language models excel in generating and understanding text, Skild AI’s founders argue that these models often fall short in applying their knowledge to real-world tasks. The company’s innovative approach seeks to bridge this gap by developing an AI system that combines a comprehensive understanding of language with the ability to perform complex, practical functions. Dr. Mehta mentioned that they aim to endow robots with a more generalized and versatile intelligence. They want the robots to not only understand human language but also to use that understanding effectively in diverse scenarios, from industrial automation to personal assistance.

Skild AI’s development of a ‘general-purpose brain’ involves creating algorithms that enable robots to process and act upon information in a contextually aware manner. This advancement could significantly expand the practical applications of robotics, making them more adaptable and useful across various sectors.

As the field of AI continues to evolve, Skild AI’s groundbreaking work reflects a growing emphasis on creating more intelligent, versatile robotic systems. By bridging the gap between language understanding and practical application, the startup is poised to drive the next wave of innovation in robotics.