A focused feed of models, agents, research and open-source releases for people building with AI.
Boston Dynamics launched Stretch Gen 2 , a hardened version of its autonomous trailer unloading robot. Peak throughput rises to 1,000 cases per hour with a new multipick feature. Internal cabling cut by 81 percent, roughly a half mile, to eliminate electrical faults.
Sakana AI will pre-train its own agent-native LLM series, Sakana Sawara , from scratch. First model, Sawara Small, targets a spring 2027 weights release; Sawara Large planned to follow. Jürgen Schmidhuber joined as Chief Scientific Advisor and keynoted Sakana's Tokyo symposium.
Georgia Tech and ARL release MO-Playground , a JAX-native multi-objective RL toolkit for robotics. New MORLAX algorithm uses hypernetworks mapping trade-off vectors to full policy parameters. Reports 21x to 271x speedups over HYPER-MORL across five MuJoCo benchmarks.
Google Gemma team debuted Reachy on Wheels at PyTorch Conference , battery-powered with no cloud. Gemma 4 E4B handles voice conversation and tool calls to start or stop the vehicle. EmbeddingGemma 2 runs on an Arduino Ventuno Q board for real-time camera-based steering.
New scene-adaptive embodied intelligence architecture for AUV swarms doing multi-target tracking under tight acoustic bandwidth. SA-MARL uses dual critics, one scene-specific and one global-safety, fused by a dynamic weight to kill gradient conflicts.
NVIDIA's LucidLyra turns one image into a 3D Gaussian scene with geometry, semantics, and instances. A frozen camera-controlled video diffusion model supplies multi-view latents to a single Gaussian decoder.
New paper shows flow robot policies produce near-Gaussian per-step action distributions, with under 2% Wasserstein error. Gaussian Action Readout replaces the flow policy's final layer with a Gaussian head trained on 0.02% of states.
NVIDIA expands Cosmos with data factory blueprints, training recipes and faster inference, with Porsche, Mercedes-Benz, Siemens and others building on top.
microagi's new pipeline streams over 10 GB per second of robot training recordings into AWS, GCP, Cloudflare, or Hugging Face on demand.
A new open-source plugin wires an AI agent directly into Blender over TCP, exposing 16 tools and 186 ops for scene editing, rendering, and verification.
An independent developer vibe-coded a from-scratch reproduction of the SuperMimic humanoid control paper in roughly an hour and hit the paper's numbers in 1.5 GPU-hours.
Unitree's new H2-X variant pushes humanoid battery life to roughly eight hours and leans hard into physical force, with warnings to keep your distance.
RoboParty's RP1 ships every layer of a bipedal humanoid, from CAD and PCBs to Linux BSP, URDF, locomotion training and behavior foundation models.
A Stanford, MIT, and Harvard team steers one feature inside frozen robot policies and lifts real-world success rates from 31% to 52%.
A trending open-source SLAM system fuses 3D Gaussian Splatting with semantic segmentation to deliver object-aware dense reconstruction in real time.
Kyutai's REKI is a 2.4B vision-language-action model trained only on public data, matching models twice its size with a cached memory trick.
Unitree's new UniUni software coordinates fleets of its humanoid and quadruped robots for choreographed formations, live monitoring, and emergency stops.
A new conformal prediction method tightens safety margins for adaptive controllers, letting a learning quadcopter squeeze through gaps a worst-case bound would block.
GVHMR recovers world-grounded 3D human motion from a single video using gravity-aligned coordinates, processing 45 seconds of footage in 280 ms.
Vals AI dropped frontier LLMs into real-time MuJoCo physics sims to control a robot arm and humanoid, and the humanoid scores stayed near zero.
Artificial Analysis launched a robotics benchmark that puts frontier LLMs behind a 6-axis arm. GPT-6 Astra leads, but every model is roughly 100x slower than a human.
NVIDIA's Robota-Embed is a vision-language-action retrieval model that pulls useful past experience into robot policies, lifting task success and cutting token costs.
A hierarchical system lets two humanoid robots alternate shots in table tennis doubles, clearing space in 2.4 seconds without colliding.
Physical Intelligence opens its robotic foundation models to outside teams, letting companies upload data, fine-tune, and run cloud-hosted inference on their own hardware.
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