Physical AI Radar · Weekly roundup · 2026-W42

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16 picks published 2026-10-12 → 2026-10-18, grouped by lane. Titles link to the source; dates link to that day’s radar.

• Evidence tags: O = first-party official · R = paper/preprint · M = media/secondary
• [O] 1 · [R] 11 · [M] 4

Foundation models (VLA / WAM) (2)

• [R] LeWAM: A JEPA World Action Model with Diffusion-Steering-Based MPC — arXiv 2610.12407 ｜ 2026-10-12
• [R] Forward Dynamics Models — arXiv 2610.13117 ｜ 99.4% · 13% ｜ 2026-10-13

Data engine (collection / curation / scaling) (2)

• [R] Generative Neural Retargeting for Human-to-Robot Dexterous Manipulation — arXiv 2610.12440 ｜ 2026-10-12
• [M] 产业出题，科技答题：2026 IEIC国际具身智能技能大赛，用真实岗位任务考核机器人落地能力 — 雷峰网 Leiphone ｜ 2026-10-13

Training & self-improvement (RL / post-training) (3)

• [R] SpatialHarness: Test-Time Spatial Scaffolding for Fine Robotic Manipulation — arXiv 2610.12457 ｜ 26.7% · 66.7% · 0% ｜ 2026-10-12
• [R] Evo-RL: Iterative Robot Reinforcement Learning from Selective Experience — arXiv 2610.13345 ｜ 1,000 hours ｜ 2026-10-13
• [M] 百度世界2026将于11月12日在北京举办，主题为「下一幕，智能组织」 — 雷峰网 Leiphone ｜ 2026-10-13

Simulation & evaluation (sim2real / closed-loop) (4)

• [R] LiteNWM: Efficient Latent World Models for Onboard Visual Navigation in the Wild — arXiv 2610.12368 ｜ 17.56% · 16.2% · 43.3% ｜ 2026-10-12
• [R] RoboAware: Learning to Coordinate Embodied Skills from Counterfactual Outcomes — arXiv 2610.11480 ｜ 100 tasks · 77.0% · 90.0% ｜ 2026-10-12
• [R] AutoBio+: Benchmarking Dexterous Manipulation with Dynamic Experimental Phenomena in Realistic Laboratories — arXiv 2610.13643 ｜ 14 tasks ｜ 2026-10-13
• [O] 3D Gaussian Splatting in practice: Industry use cases — AWS Physical AI Blog ｜ 2026-10-13

Edge & real-time (on-device inference / control rate) (3)

• [R] Real-Time Motion Planning with Dynamic Hazards: Classical vs. Learning-Based Methods — arXiv 2610.12249 ｜ 2026-10-12
• [R] WAND: Learning Robust Navigation under Complex Wind Disturbances and Dense Obstacles for Quadrotors — arXiv 2610.11809 ｜ 2026-10-12
• [M] Closing the reality gap: Why real-time execution has become the new competitive advantage — The Robot Report ｜ 2026-10-13

Safety, permissions & compliance (1)

• [R] CSF: Contextual Safety Filtering for Motion Generators — arXiv 2610.12467 ｜ 90% · 100% ｜ 2026-10-12

Embodiment & supply chain (hardware / cost) (1)

• [M] **[费莫一刘念邱：智驾无图的经验，也能迁移到机器人

  物理AI 50人](https://www.leiphone.com/category/transportation/Y6GLcnioywVn3u7K.html)** — 雷峰网 Leiphone ｜ 2026-10-13

This repository is technical observation. It is not investment advice, a product commitment, or a safety certification conclusion. Paper claims are author-reported.

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