Peter Jang
June 4, 2025 15:23
According to NVIDIA’s blog, 1X Technologies develops humanoid robots to improve human productivity by automating ordinary tasks using advanced AI methods for learning and adaptability.
1X Technologies is pioneering the development of humanoid robots designed to handle everyday tasks to improve human productivity. As described in the NVIDIA’s blog, Bernt Børnich, the founder and CEO of the company, thinks these robots are a tool that can focus on human relationships more creative and interpersonal.
Learning through human interaction
Børnich believes that robots need to learn social norms and actions directly from humans to show true intelligence. This approach aims to have the ability to carry out subtle actions such as caring for pets or helping the elderly through life and learning among people.
Development of humanoid robotics
1X Technologies is doing its best to build autonomous humanoid robots that focus on safety, economics and adaptability. NEO, the latest robot of the company, can perform household chores such as vacuum cleaners and folding laundry. NEO’s design integrates tendon -centered mechanisms inspired by the human musculoskeletal system to optimize low energy consumption and operation safety.
Technical foundation
The robot of 1X Technologies uses a combination of reinforcement learning, expert demonstrations and actual data, continuously adapting and learning. This technical framework allows robots to effectively handle new situations to improve usefulness in everyday life.
Industrial impact and future prospects
The potential for such a robot to offload ordinary tasks from humans indicates significant changes in how productivity and everyday life can develop. By automating repetitive household chores, individuals can spend more time to foster connections and participate in creative efforts.
To gain more insights in the latest development of physical AI and robotics, industry experts can attend the NVIDIA GTC Paris event from June 10-12, where there are sessions for Humanoid Robotics.
The additional context of the evolution of AI in robotics and other sectors can be searched for the role of computer vision in the development of world foundation models and AI development through the relevant content of NVIDIA’s blogs.
To see the entire article, visit NVIDIA’s blog.
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