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UC Berkeley

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Axis Robotics Releases AXIS: A Browser-Based Data Engine With 207 Robot Manipulation Tasks and 50,129 Trajectories

Axis Robotics and academic partners released AXIS, a browser-based teleoperation system yielding 207 manipulation tasks and 50,129 trajectories that lifts pi0.5 to 88.8 on LIBERO-Plus.

A team from Axis Robotics, UC Berkeley, Georgia Tech, and NTU introduced AXIS, a browser-based data engine where contributors teleoperate a simulated Franka Research 3 in a MuJoCo WebAssembly frontend while GPU backends handle task generation, training, and evaluation. The released snapshot holds 207 tasks, 50,129 episodes, and 60K+ task or scene variants from more than 70,000 community contributors. Continual pretraining of pi0.5 on AXIS data raises LIBERO-Plus performance from 83.9 to 88.8, versus 57.5 for a volume-matched RoboCasa365 control; the 2.36 TB dataset is gated for non-commercial academic use.

MarkTechPost · 8d agoAI research

UC Berkeley Researchers Release CUA-Lite, an Open Platform Unifying Sandboxes, Data, Evaluation and RL for Computer-Use Agents

UC Berkeley's CUA-Lite is an open platform unifying computer-use agent sandboxes, datasets, evaluation and RL; Lite.OSWorld cuts OSWorld memory 4.1 GB to 0.9 GB.

UC Berkeley researchers released CUA-Lite, an open platform placing agents, environments, traces, and training for computer-use agents behind one action space, one LiteSample schema, and one command across desktop, browser, and mobile. Lite.OSWorld reproduces the OSWorld task suite and evaluators in plain Docker containers (0.9 GB RAM vs 4.1 GB, cold start 23.8s, ~4.6× more parallel instances), with scores matching the QEMU/KVM VM across 13 models. The platform claims 30k+ verifiable tasks, 15+ benchmarks, 10+ agents, and 20+ datasets on Hugging Face including Aguvis, OpenCUA, and ScaleCUA. A documented SFT run lifts Qwen3-VL-2B-Instruct mean episode return from 0.138 to 0.237 on the 332-task lite.osworld split.

MarkTechPost · 9d agoAI tools & infra1

XDOF, just 3 months out of stealth, is in talks for a Series B at a $1.2B valuation

Robotics data startup XDOF is in talks for a Series B at a $1.2B valuation led by 8VC, three months after emerging from stealth.

XDOF, co-founded in 2024 by UC Berkeley researchers Philipp Wu and Fred Shentu, collects real-world teleoperation data for training general-purpose robots. It raised a $70M Series A in June from Thrive Capital, Andreessen Horowitz, Lux, and Spark Capital, and annualized revenue is approaching $50 million. The company is partnering with UC Berkeley's AI Research lab to release the ABC robot training dataset and already serves about 20 customers, including several frontier AI labs. Terms of the Series B are not final.

TechCrunch · AI · 11d agoAI industry

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ai model Fara-7B 1ai model pi0.5 1ai model Qwen3-VL-2B-Instruct 1ai model UI-TARS 1organization 8VC 1organization Andreessen Horowitz 1organization Axis Robotics 1organization Georgia Tech 1organization Lux 1organization NTU 1organization Spark Capital 1organization Thrive Capital 1organization XDOF 1product ABC 1product CUA-Lite 1product GELLO 1
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