Joga demonstrates agile humanoid soccer on a Unitree G1 using an actuated neck and residual models to close the sim-to-real gap for both perception and actuation, enabling dribbling, tight turns, and receive→dribble→shoot sequences with fully onboard perception. This is a significant step toward general-purpose humanoid locomotion and active spatial perception in unstructured environments.

AthenaZero is a bimanual manipulator designed to minimize inertia without compromising control authority. By using quasidirect drive actuation and transmission remotization techniques, the system achieves an effective end-point mass comparable to state-of-the-art systems while enabling dynamic, contact-rich manipulation. A significant hardware advance for dexterous embodied manipulation research.

Vision–Language–Action (VLA) models have shown strong potential for end-to-end autonomous driving, yet their post-training commonly relies on expensive simulator interaction or global policy updates. FROA-Drive introduces a failure-routed offline adaptation method that enables lightweight, targeted policy improvement for already-competent pretrained VLA driving policies without costly retraining or simulator access.

We present a framework for assistive robot manipulation that addresses two fundamental challenges: efficient adaptation of large-scale models for scene affordance understanding and effective learning of robot actions by grounding...

Humans and animals use sound as a crucial cue for interacting with the physical world, as acoustic events can reveal contact, completion, hidden contents, or process state. Embodied agents should leverage sound for manipulation tasks. This paper presents the HEAR framework for sound-centric robot manipulation.

A new feed-forward Gaussian Splatting method that selectively processes voxels for efficient 3D scene reconstruction, targeting real-time perception stacks for embodied agents. Advances the efficiency frontier of 3D scene representation without per-scene optimization.

Adapts a training-free Spatial Search prototype to Meta Quest's spatial data pipeline, enabling natural-language search over Gaussian Splatting and mesh scenes in real time on-device. Demonstrates practical deployment of 3D spatial intelligence for consumer AR/VR hardware.

Introduces a 35B cost-efficient model positioned at the Pareto frontier for collaborative long-horizon agent tasks, achieving performance competitive with significantly larger systems. Advances the capability of embodied and agentic AI to handle extended multi-step cooperative workflows.

Figure's Helix 2.5 humanoid robot enters 30 unseen Bay Area rental homes with no additional training and performs useful whole-body tasks for 4+ hours, demonstrating strong zero-shot generalization across diverse real-world environments. This is a notable advance in robot foundation model generalization for home deployment.

Physical Intelligence's mobile π robot runs fully autonomous for hours in a real production environment stacking boxes at Dandelion Chocolate, exposing generalization and reliability gaps between lab demos and production utility. Represents a significant milestone in deploying robot foundation models in unstructured real-world settings.