Google DeepMind's AI Model Takes Control of Humanoid Robot on Auto Factory Floors
In a significant development, Google DeepMind has teamed up with Boston Dynamics to integrate its advanced AI model, Gemini, into the company's humanoid robot, Atlas. The partnership is aimed at giving robots the intelligence needed to navigate unfamiliar environments, identify and manipulate objects, and perform manual labor – skills essential for tasks typically performed by humans in auto factories.
Gemini-powered Atlas robots will be deployed on various Boston Dynamics' robots, including a robot dog called Spot. The collaboration marks an early step towards creating humanoids that can quickly master a wide range of tasks, revolutionizing the manufacturing industry.
Boston Dynamics, acquired by Google in 2013 and later sold to SoftBank in 2017 before being bought by Hyundai in 2021, has been at the forefront of robot development, including four-legged systems tested for military use. The company's humanoid robots have already shown impressive capabilities like dancing and performing acrobatics but lack advanced intelligence.
With Gemini integrated into Atlas, the robot will be able to understand its environment, make complex decisions, and manipulate objects with greater precision. Robert Playter, CEO of Boston Dynamics, believes that manufacturing environments are ideal for deploying this technology, citing Hyundai factories as a perfect testing ground.
Gemini's multimodal design makes it well-suited for understanding and learning about the physical world. The AI model was designed to be adaptable, allowing robots like Atlas to quickly grasp new tasks. Google DeepMind's robotics focus is on building advanced AI that can power general-purpose robots, with automotive being an initial application area.
However, there are concerns about introducing AI in physical systems, including safety risks. Robert Playter acknowledges that even small machines could pose danger and emphasizes the need for robust safety controls to prevent accidents.
The integration of Gemini into Atlas represents a significant step towards creating intelligent robots that can tackle complex tasks, further expanding their applications beyond manufacturing to other industries.
In a significant development, Google DeepMind has teamed up with Boston Dynamics to integrate its advanced AI model, Gemini, into the company's humanoid robot, Atlas. The partnership is aimed at giving robots the intelligence needed to navigate unfamiliar environments, identify and manipulate objects, and perform manual labor – skills essential for tasks typically performed by humans in auto factories.
Gemini-powered Atlas robots will be deployed on various Boston Dynamics' robots, including a robot dog called Spot. The collaboration marks an early step towards creating humanoids that can quickly master a wide range of tasks, revolutionizing the manufacturing industry.
Boston Dynamics, acquired by Google in 2013 and later sold to SoftBank in 2017 before being bought by Hyundai in 2021, has been at the forefront of robot development, including four-legged systems tested for military use. The company's humanoid robots have already shown impressive capabilities like dancing and performing acrobatics but lack advanced intelligence.
With Gemini integrated into Atlas, the robot will be able to understand its environment, make complex decisions, and manipulate objects with greater precision. Robert Playter, CEO of Boston Dynamics, believes that manufacturing environments are ideal for deploying this technology, citing Hyundai factories as a perfect testing ground.
Gemini's multimodal design makes it well-suited for understanding and learning about the physical world. The AI model was designed to be adaptable, allowing robots like Atlas to quickly grasp new tasks. Google DeepMind's robotics focus is on building advanced AI that can power general-purpose robots, with automotive being an initial application area.
However, there are concerns about introducing AI in physical systems, including safety risks. Robert Playter acknowledges that even small machines could pose danger and emphasizes the need for robust safety controls to prevent accidents.
The integration of Gemini into Atlas represents a significant step towards creating intelligent robots that can tackle complex tasks, further expanding their applications beyond manufacturing to other industries.