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cs.AI2026

RT-Safe: Benchmarking Agent Safety in Real-Time Embodied Environment

Tianruo Rose Xu, Jiawei Ren, Yichi Yang +2

Rapid progress in AI agents has brought growing attention to agent safety, with extensive evaluation focused on digital environments. As agents move into the physical world, embodi…

cs.AI2026

SimWorld-Robotics: Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration

Yan Zhuang, Jiawei Ren, Xiaokang Ye +9

Recent advances in foundation models have shown promising results in developing generalist robotics that can perform diverse tasks in open-ended scenarios given multimodal inputs.…

cs.AI2026

SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds

Jiawei Ren, Yan Zhuang, Xiaokang Ye +20

While LLM/VLM-powered AI agents have advanced rapidly in math, coding, and computer use, their applications in complex physical and social environments remain challenging. Building…

cs.AI2026

C-World: A Computer Use Agent Environment Creator

Ziqiao Xi, Shuang Liang, Qi Liu +9

To close the gap between LLM-based agents and humans in planning and reasoning, agents need large-scale, diverse environments for continuous learning -- yet building such environme…

cs.AI2025

DeliveryBench: Can Agents Earn Profit in Real World?

Lingjun Mao, Jiawei Ren, Kun Zhou +3

LLMs and VLMs are increasingly deployed as embodied agents, yet existing benchmarks largely revolve around simple short-term tasks and struggle to capture rich realistic constraint…

cs.AI2025

ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory

Matthew Ho, Chen Si, Zhaoxiang Feng +5

While inference-time scaling enables LLMs to carry out increasingly long and capable reasoning traces, the patterns and insights uncovered during these traces are immediately disca…