Author

Keshu Wu

Texas A&M University

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Preprint Oct 2026

Training-Free Multi-Agent Cooperative Embodied Search from Uncertain Vision-Language Priors

Real-world Vision-Language Navigation (VLN) requires agents to act under partial observability, where map structure, semantic cues, and target locations may be incomplete or incorrectly inferred by foundation models. This paper presents a lightweight, training-free, and uncertainty-aware framework for cooperative multi...

Fan Pu, Keshu Wu, Ji-Wan Jiang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

AURORA: A Natural Language-Driven Agentic Framework for Understanding, Reasoning, and Orchestrating Reliable Air-Ground Co-Simulation

The results show that reliable scenario generation requires verifying realized behavior, not merely executable code, and demonstrate the value of explicit intermediate representations for verifiable and repairable language-driven co-simulation.

Keshu Wu, Hao Zhang, Rui Gan et al. · 0 citations

Review Open access Aug 2026

Generative AI for Autonomous Driving: Frontiers and Opportunities

This survey delivers a comprehensive and critical synthesis of the emerging role of GenAI across the autonomous driving stack, delving into the frontier applications of GenAI in image, LiDAR, trajectory, occupancy, and video generation, as well as LLM-guided reasoning and decision-making.

Yu-Ping Wang, Shuo Xing, C. Cui et al. · ACM Computing Surveys · 60 citations · ⚡2