NishMath

Nvidia is aggressively expanding its presence in the robotics sector, highlighted by the development of its Jetson Thor computing platform. This platform is designed to replicate Nvidia’s success in AI chips and is a core component of their strategy to develop advanced humanoid robots. Furthermore, Nvidia is not working alone in this endeavor. They have partnered with Foxconn to create humanoid robots, aiming to move beyond just manufacturing and integrate into new tech areas. This strategic move demonstrates Nvidia’s focus on becoming a dominant player in AI-driven robotics, specifically for humanoid technology.

Nvidia is also addressing the challenge of training these robots through their Isaac GR00T Blueprint, unveiled at CES. This blueprint utilizes synthetic data generation to create the extensive datasets needed for imitation learning, allowing robots to mimic human actions. A new workflow uses Apple Vision Pro to capture human actions in a digital twin and the data is used in the Isaac Lab framework, which teaches robots to move and interact safely. Nvidia’s Cosmos platform also is in use by generating physics-aware videos that are also used to train robots. The company's CEO, Jensen Huang, emphasizes humanoid robots as the next big leap in AI innovation, aiming to establish Nvidia as a key player in the future of robotics and autonomous systems.


References :

• DIGITIMES Asia: News and Insight of the Global Supply Chain: Nvidia's robot computing platform Jetson Thor aims to replicate AI chip success story
• analyticsindiamag.com: Foxconn, NVIDIA Partner to Develop Humanoid Robot Service
• blogs.nvidia.com: NVIDIA Announces Isaac GR00T Blueprint to Accelerate Humanoid Robotics Development

Classification:

• HashTags: Nvidia AIRobotics AutonomousVehicles
• Company: Nvidia
• Target: Robotics Industry
• Product: Jetson Thor
• Feature: robot computing platform
• Type: AI
• Severity: Major