Embodied AI

GDN-Memory:具身世界模型的恒定占用联想记忆系统

基于 Gated DeltaNet 快权重构建的三层(物理/物体/行为)恒定占用记忆系统, 集成于 Genie Envisioner 的 Slow-Fast 推理流水线。总占用 256 KB,更新延迟 <1ms,联想检索精度 >85%。

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Liu Yue
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GDN-Memory: Constant-Footprint Embodied Memory for World Models

Gated DeltaNet hierarchical memory integrated into Genie Envisioner's Slow-Fast VLA pipeline. 256KB constant footprint, <1ms update latency, targeting ICRA/CoRL 2026.

GDN-Memory: Constant-Footprint Embodied Memory for World Models featured image

GDN-Memory: Constant-Footprint Embodied Memory for World Models

Gated DeltaNet hierarchical memory integrated into Genie Envisioner's Slow-Fast VLA pipeline. 256KB constant footprint, <1ms update latency, targeting ICRA/CoRL 2026.

GDN-Memory: Constant-Footprint Associative Memory for Embodied World Models featured image

GDN-Memory: Constant-Footprint Associative Memory for Embodied World Models

A three-layer (physical / object / behavioral) constant-memory system built on Gated DeltaNet fast weights, integrated into Genie Envisioner's Slow-Fast inference pipeline. 256 KB …

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Liu Yue
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面向可部署视觉-语言-动作策略的高效推理基础设施

面向流匹配 VLA 策略的推理优化栈,通过投机去噪与流水线调度在商用硬件上实现 20ms 以下延迟。

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Liu Yue
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Efficient Inference Infrastructure for Deployable Vision-Language-Action Policies

Inference optimization stack for flow-matching VLA policies achieving sub-20ms latency on commodity hardware via speculative denoising and pipeline scheduling.

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Liu Yue
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OpenDuckMini — 开源双足机器人

基于 3D 打印结构、舵机驱动与树莓派的开源双足鸭形机器人,支持动态行走与奔跑,已在真实跑道测试。联合撰写社区文档。

Open-Source Robotics Collaboration with 子豪兄 featured image

Open-Source Robotics Collaboration with 子豪兄

Joint robotics projects with Zihao (同济大学 B站 UP主) — OpenDuckMini bipedal robot, quadruped platforms, and community hardware documentation co-authored at Tongji University.

综述:VLA如何落地医疗机器人 featured image

综述:VLA如何落地医疗机器人

全面综述 Vision-Language-Action 模型在医疗机器人中的落地路径,探讨具身智能如何在手术与护理场景中实际部署。

VLA具身模型后训练综述 featured image

VLA具身模型后训练综述

VLA 具身模型后训练技术综述:SFT、DPO 偏好优化、PPO/TRPO 在线强化学习的系统性梳理。