Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Microagi Appoints Animesh Garg as Chief Research Officer to Enhance Robot Reliability
Microagi has appointed Animesh Garg as its chief research officer, aiming to transform robot models into reliable workers. This strategic move, announced on September 29, emphasizes post-training as a core focus for the German company. Garg, who has an extensive background in robot-learning research and humanoid development, will lead the Usable Robots team to address practical challenges in physical AI. The significance of this appointment lies in Garg's experience, which includes roles at Georgia Tech, NVIDIA, and Apptronik. His expertise in robot-learning and commercial humanoids is expected to bolster Microagi's research capabilities. Garg's vision includes advancing self-improvement and reinforcement-learning-based post-training, which he believes are crucial for enhancing robot performance in real-world applications. Looking ahead, Microagi aims to leverage Garg's leadership to expand its product offerings, particularly the Atlas system, which integrates autonomous robotics into industrial operations. The company has raised $55 million in seed funding to support its growth and ambitions, including the goal of deploying one million robots in real-world scenarios. No further timeline was disclosed at the time of publication.
microagi Europe
Microagi Partners with Google Cloud to Advance AI Robotics Development
Microagi, a Munich-based AI startup, has announced a collaboration with Google Cloud to enhance the development of robotics that can understand and interact with physical environments. This partnership will leverage Google Cloud's AI infrastructure alongside the NVIDIA Blackwell platform to process extensive physical datasets and train specialized 'embodied AI' models. This collaboration is significant as it aims to accelerate the capabilities of robotics in real-world applications, enabling them to better navigate and respond to their surroundings. By utilizing advanced AI technologies, Microagi seeks to push the boundaries of what embodied AI can achieve in various sectors. Looking ahead, it will be important to monitor the progress of Microagi's model training efforts and the practical applications of their robotics solutions. No further timeline was disclosed at the time of publication.
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