activity
20242026
collaborators

10 papers

cs.CV2026

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

Rong Li, Shijie Li, Jiangyong Huang +7

Vision-language models (VLMs) struggle with metric and multi-view relationships that remain implicit in RGB observations. Geometry foundation models recover this structure from RGB…

cs.RO2026

Token-Wise Latent Streaming from Slow Reasoners to Fast Planners for Dynamic Vision Language Navigation

Tianshuai Hu, Yangyi Zhong, Zeying Gong +7

Vision-Language Navigation in dynamic, human-centric environments exposes a fundamental tension: linguistic reasoning is slow and deliberative, whereas safe, socially compliant pla…

cs.CV2026

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

Jinghui Lu, Jiayi Guan, Zhijian Huang +47

Chain-of-Thought (CoT) reasoning has become a powerful driver of trajectory prediction in VLA-based autonomous driving, yet its autoregressive nature imposes a latency cost that is…

cs.CV2026

Language-Conditioned World Modeling for Visual Navigation

Yifei Dong, Fengyi Wu, Yilong Dai +11

Goal-conditioned visual navigation has been a long-standing testbed for embodied AI. We study a natural language-conditioned variant, language-conditioned visual navigation (LCVN),…

cs.RO2026

NavThinker: Action-Conditioned World Models for Coupled Prediction and Planning in Social Navigation

Tianshuai Hu, Zeying Gong, Lingdong Kong +7

Social navigation requires robots to act safely in dynamic human environments. Effective behavior demands thinking ahead: reasoning about how the scene and pedestrians evolve under…

cs.RO2026

FLUX: Accelerating Cross-Embodiment Generative Navigation Policies via Rectified Flow and Static-to-Dynamic Learning

Zeying Gong, Yangyi Zhong, Yiyi Ding +6

Autonomous navigation requires a broad spectrum of skills, from static goal-reaching to dynamic social traversal, yet evaluation remains fragmented across disparate protocols. We i…

cs.RO2026

The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms

Lingdong Kong, Shaoyuan Xie, Zeying Gong +135

Autonomous systems are increasingly deployed in open and dynamic environments -- from city streets to aerial and indoor spaces -- where perception models must remain reliable under…

cs.CV2025

Zero-Shot 3D Visual Grounding from Vision-Language Models

Rong Li, Shijie Li, Lingdong Kong +2

3D Visual Grounding (3DVG) seeks to locate target objects in 3D scenes using natural language descriptions, enabling downstream applications such as augmented reality and robotics.…

cs.RO2025

Stairway to Success: An Online Floor-Aware Zero-Shot Object-Goal Navigation Framework via LLM-Driven Coarse-to-Fine Exploration

Zeying Gong, Rong Li, Tianshuai Hu +6

Deployable service and delivery robots struggle to navigate multi-floor buildings to reach object goals, as existing systems fail due to single-floor assumptions and requirements f…

cs.CV2024

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

Rong Li, Shijie Li, Lingdong Kong +2

3D Visual Grounding (3DVG) aims to locate objects in 3D scenes based on textual descriptions, essential for applications like augmented reality and robotics. Traditional 3DVG appro…