IT News on October 7th: Boston Dynamics (Boston Dynamics) has appointed Rohit Prasad (Rohit Prasad), a former executive from Amazon, as its Chief Executive Officer. This robotics company, which is controlled by the Hyundai Motor Group, will be led by him as it enters a new phase of robotic technology innovation and commercialization.

Boston Dynamics, known for its agile humanoid robots, is currently developing robot systems for industrial and various real-world applications, which falls within the field of physical artificial intelligence. Hyundai Motor Group acquired a majority stake in Boston Dynamics in 2021; earlier this year, the company announced plans to start deploying humanoid robots at its factory in Georgia starting from 2028, with the aim of building a production capacity of up to 30,000 humanoid robots per year.

IT noticed that in a personnel announcement released on Tuesday local time, Boston Dynamics stated that Prasad had worked at Amazon for 12 years, participating in the creation and expansion of the business related to the intelligent voice assistant Alexa. Before joining Amazon, he also worked at Raytheon BBN Technologies for 14 years, responsible for research in machine learning, as well as implementation projects for U.S. government and commercial clients.

Earlier this year, Robert Platte ( Robert Playter ), who held the position of CEO at Boston Dynamics for six years, stepped down. In this company with over thirty years of development history, he was merely the second CEO. Since then, several senior management personnel have left the company, including the Chief Technology Officer, Alan Sanders ( Aaron Saunders ).

Meanwhile, Hyundai Motor is in the process of acquiring the remaining shares of Boston Dynamics held by SoftBank Group in order to fully take control of this robotics pioneer company. Hyundai Motor has also reached strategic partnerships with NVIDIA and Google DeepMind to jointly develop Atlas robots. These robots are expected to initially undertake simple tasks such as welding and logistics; around 2030, they will gradually be deployed in more complex manufacturing processes such as component assembly.