A writer recently attached a physical robot arm to an OpenClaw AI agent for hands-on testing.
The experiment explored how advances in AI coding capabilities are simplifying the creation and operation of robots. The author described giving the agent a real robot arm to interact with and noted that the outcomes exceeded expectations. This hands-on approach highlights growing connections between artificial intelligence models and practical robotics applications.
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Sony AI's table tennis robot Ace has challenged and sometimes defeated professional human players at an expert level. A study published Wednesday in Nature details how it learned via reinforcement learning and performed on an Olympic-sized court at Sony's Tokyo headquarters. The robot uses nine camera eyes to track the ball's spin by its logo.
Microsoft is developing an always-on version of its AI assistant Copilot that can perform tasks autonomously, drawing inspiration from the OpenClaw platform. The company confirmed early experiments with OpenClaw to enable AI to take actions on users' behalf. Safety measures are a key focus amid concerns over the open-source tool's lack of safeguards.
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Physical Intelligence, a San Francisco startup founded in 2024, is advancing robot control systems that learn multiple tasks using vision-language-action models derived from large language models. The company has demonstrated robots performing varied activities such as making coffee, folding clothes and cooking sweet potatoes based on verbal instructions.