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Robotics

Stories, products, and related signals connected to this tag in Explore.

RELEASE2w ago
Perceptron releases 35B Mk1.5 model for embodied agents

Perceptron released its 35B Mk1.5 model for drones, quadrupeds, smart glasses, and tool-using agents. The company says the model adds audio, egocentric-video understanding, tracking, and structured outputs, with execution up to 5x faster than Mk1.

RELEASE2w ago
Black Forest Labs releases open 7B FLUX 3 Action model

Black Forest Labs released FLUX 3 Action, an open 7B model that jointly predicts future video and actions for robot policies. The company reports first place on RoboLab and released embodiment fine-tunes, training recipes, and Jetson deployment support.

NEWS3w ago
Figure says Helix 2.5 raises zero-shot household-task success from 9% to 56% across 30 unseen homes

Figure reports that Helix 2.5 raised zero-shot household-task success from 9% to 56% across 30 unseen rental homes without retraining. The company released four hours of video showing the humanoid performing the tasks.

RELEASE3w ago
Odyssey introduces Odyssey-3, a preview world model for physical control

Odyssey-3 is a preview world model intended to transfer visual knowledge across robots, vehicles, drones, games, and simulations. Odyssey says downstream control policies need only a few hours of task-specific experience.

RELEASE1mo ago
World Labs releases Atlas multimodal world model

World Labs says Atlas combines visual generation with scene reconstruction. It can reconstruct scenes from images, generate camera-controlled frames, and reframe video.

RELEASE1mo ago
Anthropic opens Model Hardware Standard research preview

Anthropic opened a research preview of its Model Hardware Standard, a common interface for agents to discover and operate laboratory and manufacturing equipment. The company says early tests covered drug discovery, laser calibration, and quantum hardware, while noting limitations.

RELEASE1mo ago
Perceptron releases Isaac 0.5 open weights for robot control

Perceptron released weights, inference code, and training details for Isaac 0.5, an embodied model for video perception, reasoning, and robot control. The 36B dynamic-MoE model was trained on 1 million hours of video.

RELEASE1mo ago
Figure launches Index robot-training dataset with 16M video uploads

Figure says Index has collected 16 million robot-training video uploads from contributors in 108 countries. The company reports 264,000 app downloads and says contributors upload more than 30 minutes of video each second.

RELEASE1mo ago
Meta publishes Muse Spark 1.2 multimodal evaluation results

Meta published Muse Spark 1.2 evaluations covering tool-based web page and game creation, robotics planning, and audio-visual tasks. A separate result places it first on Design Arena’s video-to-website benchmark.

RELEASE2mo ago
Google ships Gemini Robotics 2 for whole-body robot control

Google released Gemini Robotics 2, ER 2, and On-Device 2 for humanoid control, embodied reasoning, and on-device adaptation. Demos showed sub-second streaming and multi-robot task handoffs.

RELEASE2mo ago
OpenBMB releases MiniCPM-Robot models and PhyAI runtime with 33-36 Hz throughput claim

OpenBMB open-sourced MiniCPM-RobotManip, MiniCPM-RobotTrack and PhyAI, claiming local robot tracking, robot memory and throughput gains from 10 Hz to 33-36 Hz. The release packages model artifacts and a runtime path for local robot perception and manipulation experiments.

RELEASE3mo ago
LingBot 2.0 releases open weights for robot-action and world models

LingBot 2.0 released code and weights for a real-time world model and robot-action models. The VLA maps 20 robot body configurations into a 55D action format and filters 90,000 raw robot hours to 50,000 training hours.

RELEASE3mo ago
X-Humanoid introduces TG-VLA with claimed 100% mobile-manipulation success

X-Humanoid unveiled TG-VLA as a full-size whole-body VLA framework for humanoids, built around HEX, HAF-VLA, and DSRL-DCT. The company claims DSRL-DCT reached 100% success in mobile-manipulation tasks by freezing the VLA and learning a smaller noise-selection policy.

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