Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

It’s not about robots in labs anymore someone just bought a thousand of them.” This has recently become the message that has resonated throughout the world’s robotics community, as received recently ...

Tesla CEO Elon Musk today reposted a video of a Chinese concert performance on social media platform X, captioning it ...

Robotics player Boston Dynamics has offered its clearest look yet at how software will power its next-generation humanoid robot, the Atlas. In a 40-minute technical briefing posted on the company’s ...

Nvidia’s Isaac Lab simulation powers DoorMan, allowing a humanoid to beat human operators in complex loco-manipulation tasks.Haoru Xue et al. NVIDIA researchers have revealed a new robotic learning ...

[Aditya Sripada] and [Abhishek Warrier]’s TARS3D robot came from asking what it would take to make a robot with the capabilities of TARS, the robotic character from Interstellar. We couldn’t find a ...

Robotics software startup Physical Intelligence has reportedly closed on a fresh, $600 million round of funding that brings its valuation to a lofty $5.6 billion. The company has not officially ...

Abstract: Vision-language-action models (VLAs) use an end-to-end learning architecture, which can realize the integration of visual perception, semantic understanding and motion control. However, when ...