Toyota Successfully Trains AI Robots to Make Breakfast, Breakthrough in Tactile Learning Technology


Industrial AI robot company Mind Robotics secures 500 million dollars in Series A funding, led by Accel and a16z. The company was established last November and focuses on non-humanoid robot areas, gaining the favor of top venture capital despite going against the trend.
AI agents may outnumber the global workforce in decades, as cost-effective technology drives businesses to replace human labor for efficiency.....
A fusion of technology and art, an AI feast will be held in Anqing, Anhui. With an exhibition area of 12,000 square meters, it will showcase cutting-edge achievements in competitive, educational, special operation, and humanoid robots, creating an immersive interactive experience, aiming to popularize scientific knowledge and inspire innovation.
Recently, X-ORIGIN-AI announced the successful completion of hundreds of millions of RMB in angel round financing, led by Alpha Community, with multiple industry investors participating in the follow-up investment, and Ren Chen Capital serving as the exclusive financial advisor. The funds raised will mainly be used for technology research and development, talent recruitment, and market expansion, aiming to further advance the development and implementation of its all-scenario consumer-grade AI robot products. Image source note: Image generated by AI, image authorized by service provider Midjourney. X-ORIGIN-AI focuses on developing companion robots.
The Toyota Research Institute has partnered with Stanford University to incorporate artificial intelligence into two Toyota Supra sports cars, enabling synchronized driving similar to Formula drifting. This innovation not only showcases an impressive performance but also marks a milestone in the development of safety systems for passenger vehicles. Through the AI system, the two cars can assist drivers in better controlling their vehicles under extreme conditions, solving and analyzing problems up to 50 times per second, and quickly deciding on the most appropriate steering, throttle, and brake commands. During track tests, this system achieves precision through real-time communication.