Garg, a Georgia Tech professor and former NVIDIA researcher, will join Microagi alongside seven members of his team. Financial terms for the acquisition were not disclosed.
Garg will lead Microagi’s work on post-training, adapting general-purpose robotics models to perform specific physical tasks in commercial environments.
His research has focused extensively on robot learning from human demonstrations and enabling robots to improve through experience. Garg previously worked at NVIDIA on simulation technology that became part of Isaac Lab and served as Chief Scientific Officer at humanoid robotics company Apptronik from 2024 to 2025.
Microagi trains robotics systems using data captured from people performing physical work, including workers equipped with cameras and sensorized gloves. The company then uses those datasets to adapt general-purpose robotics models to customer environments.
Its initial commercial focus includes automotive manufacturing, logistics and food production.
Microagi raised $55 million in seed financing earlier this year. CEO Bercan Kilic told Business Insider that the company ultimately wants to support deployment of at least 10 million robots for customers over the next five years. That figure is a company target rather than an existing deployment commitment.
