Recently, Google DeepMind and the robotics company Apptronik announced a collaboration to jointly develop AI-driven humanoid robots capable of operating in dynamic environments.
The partnership aims to combine Apptronik's robotic hardware with Google DeepMind's artificial intelligence technology to create robots that can work in complex environments. Founded in 2016, Apptronik originated from the Human Centered Robotics Lab at the University of Texas at Austin and has developed 15 different models of robots, including NASA's Valkyrie robot.
The focus of this collaboration is on Apptronik's latest Apollo robot, which stands 1.73 meters tall and weighs 73 kilograms, specifically designed for industrial environments and capable of collaborating with humans. In a recent demonstration by DeepMind, the Apollo robot operated under the control of Gemini 2.0, showcasing its ability to work in complex environments.
The Google DeepMind robotics team has extensive expertise in machine learning, engineering, and physical simulation. The team recently demonstrated how its AI model helps robots navigate complex environments, achieving a success rate of up to 90% in navigation tasks when using the Gemini 1.5 Pro model.
One of the highlights of this system is its ability to learn through simple smartphone videos, identifying small objects like coasters and understanding abstract concepts, such as accurately locating a suitable area on a whiteboard when asked to find a space for drawing.
In addition to its collaboration with Google DeepMind, Apptronik is also partnering with companies like GXO and Mercedes-Benz and plans to expand further collaborations next year. With the continuous advancement of artificial intelligence technology, the future of humanoid robots looks promising.
Key Points:
🌟 Google DeepMind collaborates with Apptronik to develop AI-driven humanoid robots capable of operating in dynamic environments.
🤖 Apptronik's latest Apollo robot is designed for industrial environments and can collaborate with humans.
📈 Google DeepMind's AI model helps robots navigate efficiently, achieving a success rate of up to 90%.