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From the 1 of 29 linked papers with an AI index.

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20242026
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cs.RO2026

FARM: Find Anything using Relational Spatial Memory

Siming He, Leo Huang, Adam Lilja +7

Robots operating in homes, warehouses, and other object-rich environments need memory systems that can find specific object instances on demand. Object-level memory alone is often…

cs.RO2026

Planning-aligned Token Compression for Long-Context Autonomous Driving

Zhixuan Liang, Yuxiao Chen, Yurong You +12

Monolithic vision-action models represent an emerging paradigm in autonomous driving. However, this architecture produces token sequences that quickly exceed real-time computationa…

cs.RO2026

: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation

Songlin Wei, Hongyi Jing, Boqian Li +12

We introduce (Psi-Zero), an open foundation model to address challenging humanoid loco-manipulation tasks. While existing approaches often attempt to address this fundamenta…

cs.RO2026

Accelerating Structured Chain-of-Thought in Autonomous Vehicles

Yi Gu, Yan Wang, Yuxiao Chen +8

Chain-of-Thought (CoT) reasoning enhances the decision-making capabilities of vision-language-action models in autonomous driving, but its autoregressive nature introduces signific…

cs.RO2025

Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning

Zhenghao "Mark" Peng, Wenhao Ding, Yurong You +11

Recent reasoning-augmented Vision-Language-Action (VLA) models have improved the interpretability of end-to-end autonomous driving by generating intermediate reasoning traces. Yet…

cs.RO2025

The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving

Jay Patrikar, Apoorva Sharma, Sushant Veer +3

Learning-based autonomous driving systems are trained mostly on incident-free data, offering little guidance near safety-performance boundaries. Real crash reports contain precisel…