collaborators

6 papers

cs.CV2026

IGGT4D: Streaming 4D Instance-Grounded Geometry Transformer

Zhengyu Zou, Hao Li, Kuixuan Jiao +7

Real-world spatial intelligence requires agents to understand scenes from continuous video streams, where objects move, persist, disappear, and reappear over time. While recent spa…

cs.RO2026

GeoFlow-SLAM++: A Robust Multi-Camera Visual-Inertial SLAM System with Relocalization

Wei Feng, Tingyang Xiao, Liu Liu +2

Monocular and RGB-D visual-inertial SLAM systems remain susceptible to limited field of view, sensor-specific failure modes, and unreliable cross-session relocalization. To address…

cs.RO2026

HoloAgent-0: A Unified Embodied Agent Framework with 3D Spatial Memory

Xiaolin Zhou, Liu Liu, Tingyang Xiao +9

LLM agents follow a practical execution loop in digital environments: they reason over structured states, invoke tools, inspect feedback, and revise actions. Extending this loop to…

cs.CV2026

IRIS-SLAM: Unified Geo-Instance Representations for Robust Semantic Localization and Mapping

Tingyang Xiao, Liu Liu, Wei Feng +6

Geometry foundation models have significantly advanced dense geometric SLAM, yet existing systems often lack deep semantic understanding and robust loop closure capabilities. Meanw…

cs.RO2025

FSR-VLN: Fast and Slow Reasoning for Vision-Language Navigation with Hierarchical Multi-modal Scene Graph

Xiaolin Zhou, Tingyang Xiao, Liu Liu +7

Visual-Language Navigation (VLN) is a fundamental challenge in robotic systems, with broad applications for the deployment of embodied agents in real-world environments. Despite re…

cs.RO2025

GeoFlow-SLAM: A Robust Tightly-Coupled RGBD-Inertial and Legged Odometry Fusion SLAM for Dynamic Legged Robotics

Tingyang Xiao, Xiaolin Zhou, Liu Liu +5

This paper presents GeoFlow-SLAM, a robust and effective Tightly-Coupled RGBD-inertial SLAM for legged robotics undergoing aggressive and high-frequency motions.By integrating geom…