Black Forest Labs released FLUX 3 Action, an open-weights 7B World Action Model that predicts video and actions jointly for robot control. It ranks first on the RoboLab benchmark, beating the best open model by 6.1 points while running up to 3.95x faster. Teams can fine-tune it on their own demonstrations, and BFL reports early results beyond robotics in gaming, vehicle control, and computer use.
Black Forest Labs (BFL) announced FLUX 3, a single multimodal flow model that handles image, video, audio, and action prediction. The model is positioned as a step toward a visual intelligence backbone, though specific parameter counts, pricing, and benchmark numbers were not disclosed. The release was noted as a major AI launch on July 23-24, 2026.
Black Forest Labs (BFL) announced FLUX 3, a single multimodal flow model that handles image, video, audio, and action prediction. The model is positioned as a step toward a visual intelligence backbone, though specific parameter counts, pricing, and benchmark numbers were not disclosed. The release was noted as a major AI launch on July 23-24, 2026.
Xiaomi released Xiaomi-Robotics-1 (XR-1), a Vision-Language-Action (VLA) robot foundation model trained on over 100K hours of real-world manipulation trajectories. It uses a two-stage training paradigm—pre-training for breadth and post-training for alignment—to enable out-of-the-box mobile manipulation in unseen environments and efficient adaptation to new tasks.
Xiaomi released Xiaomi-Robotics-1 (XR-1), a Vision-Language-Action (VLA) robot foundation model trained on over 100K hours of real-world manipulation trajectories. It uses a two-stage training paradigm—pre-training for breadth and post-training for alignment—to enable out-of-the-box mobile manipulation in unseen environments and efficient adaptation to new tasks.
Researchers introduced Lumo-2, a latent world-action model that generates actions by reasoning over world dynamics in latent space. It captures physically grounded visual transitions for predictive reasoning and cross-modal alignment, aiming to improve robot learning scalability and alignment.
Researchers introduced Lumo-2, a latent world-action model that generates actions by reasoning over world dynamics in latent space. It captures physically grounded visual transitions for predictive reasoning and cross-modal alignment, aiming to improve robot learning scalability and alignment.
OpenBMB released MiniCPM-Robot, an open-source embodied AI model series including MiniCPM-RobotManip (1.5B parameters) for robotic manipulation and MiniCPM-RobotTrack (0.5B parameters) for target tracking, along with the PhyAI inference framework. The models are designed to enable robots to understand, remember, and act in the physical world.
OpenBMB released MiniCPM-Robot, an open-source embodied AI model series including MiniCPM-RobotManip (1.5B parameters) for robotic manipulation and MiniCPM-RobotTrack (0.5B parameters) for target tracking, along with the PhyAI inference framework. The models are designed to enable robots to understand, remember, and act in the physical world.
NVIDIA released Cosmos 3 Edge, a 4-billion-parameter open world model designed for edge devices in factories, warehouses, and hospitals. The model enables robots and vision AI agents to understand surroundings, reason in real time, and generate actions on memory-constrained systems. It is available on Hugging Face's Cosmos 3 repository.
NVIDIA released Cosmos 3 Edge, a 4-billion-parameter open world model designed for edge devices in factories, warehouses, and hospitals. The model enables robots and vision AI agents to understand surroundings, reason in real time, and generate actions on memory-constrained systems. It is available on Hugging Face's Cosmos 3 repository.