Richtech Robotics to Showcase AI-Driven Service Automation at ProWein 2025, Signaling Strategic Global Expansion

GlobeNewswireMar 11 08:15 ET

Express News | Shares of Machinery Stocks Are Trading Lower Amid Economic Worries Driven by Tariffs and Trade Policies. Investors May Be Expecting a Decline in Investment, Which May Also Be Weighing on the Industry

BenzingaMar 10 14:23 ET

How Is The Market Feeling About Richtech Robotics?

BenzingaMar 6 13:45 ET

Morgan Stanley Fund: Humanoid robots will gradually enter the mass production phase by 2025.

Currently, the humanoid robot industry both domestically and internationally is mainly divided into three major forces: automotive companies, robot companies, and Internet companies. The primary demand for humanoid robots such as those from Tesla is the ability for scaled production and cost reduction.

Zhitong FinanceMar 3 06:55 ET

Goldman Sachs' research throws cold water on the situation: the turning point for humanoid robot technology remains unclear, and meaningful applications will take at least another five years!

Goldman Sachs believes that the humanoid robot H1 has only 19 degrees of freedom, making it still unable to handle complex and detailed tasks. At least in the next 2-3 years, it will be difficult for humanoid robots to achieve the same work efficiency as human workers. Meaningful applications are not expected for another 5-10 years.

wallstreetcnFeb 27 07:49 ET

Goldman Sachs Siasun Robot&Automation deep research (3): Humanoid robots may be nearing mass production, with turning points emerging in three areas.

Humanoid robots are rapidly developing, but overall technology has not yet met the requirements for large-scale application in the industrial or Consumer sectors. Goldman Sachs believes that the turning point for humanoid robot technology may occur in three areas: solving multiple general tasks, high success rates and sustained robustness, and rapid reasoning. Currently, the development of humanoid robots still faces some obstacles, such as the lack of original data needed for training.

wallstreetcnFeb 20 22:32 ET