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cs.RO2026

OneVLA: A Unified Framework for Embodied Tasks

Lingfeng Zhang, Xiaoshuai Hao, Yingbo Tang +10

Navigation and manipulation are fundamental capabilities of embodied intelligence, enabling robots to interpret natural language commands and interact physically with their surroun…

cs.RO2026

MiMo-Embodied: X-Embodied Foundation Model Technical Report

Xiaoshuai Hao, Lei Zhou, Zhijian Huang +41

We open-source MiMo-Embodied, the first cross-embodied foundation model to successfully integrate and achieve state-of-the-art performance in both Autonomous Driving and Embodied A…

cs.RO2025

DSBench: A Comprehensive Benchmark for Evaluating External and In-Cabin Risks

Xianhui Meng, Yuchen Zhang, Zhijian Huang +12

Vision-Language Models (VLMs) show great promise for autonomous driving, but their suitability for safety-critical scenarios is largely unexplored, raising safety concerns. This is…

cs.RO2025

SocialNav-Map: Dynamic Mapping with Human Trajectory Prediction for Zero-Shot Social Navigation

Lingfeng Zhang, Erjia Xiao, Xiaoshuai Hao +7

Social navigation in densely populated dynamic environments poses a significant challenge for autonomous mobile robots, requiring advanced strategies for safe interaction. Existing…

cs.RO2025

RoboAfford++: A Generative AI-Enhanced Dataset for Multimodal Affordance Learning in Robotic Manipulation and Navigation

Xiaoshuai Hao, Yingbo Tang, Lingfeng Zhang +6

Robotic manipulation and navigation are fundamental capabilities of embodied intelligence, enabling effective robot interactions with the physical world. Achieving these capabiliti…

cs.RO2025

Learning to Navigate Socially Through Proactive Risk Perception

Erjia Xiao, Lingfeng Zhang, Yingbo Tang +7

In this report, we describe the technical details of our submission to the IROS 2025 RoboSense Challenge Social Navigation Track. This track focuses on developing RGBD-based percep…