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Matching papers

TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM

118 upvotes · 29 JUL 2026 · Hengyi Xie, Chenfei Yao, Xianjin Wu et al.

This paper introduces TurboVLA, a new vision-language-action model that reduces computation and memory overhead by directly exchanging information between visual observations and language instructions, allowing for faster and more efficient robotic manipulation. Practitioners might care about this approach for building more efficient and effective VLA models.

vision-language-action modelscontinual learningroboticsagentslightweight models

GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture

97 upvotes · 16 AUG 2026 · GigaBrain Team, Angen Ye, Axiang Sun et al.

This paper presents GigaBrain-0.7, a new embodied foundation model that achieves strong generalization across diverse robot embodiments and tasks, by improving the architecture and scaling it to large amounts of data. Practitioners might care about this research if they're working on developing generalist robots that can adapt to new tasks and environments.

embodied foundation modelsvision-language-action modelsthree-system architecturecontinual learningrobot embodimenttask generalization