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Xiaolin Zhou

7 papers hereh-index 118 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV3
same name
  • Xiaolin Zhou — 3 papers, h 2
  • Xiaolin Zhou — 2 papers, h 3
  • Xiaolin Zhou — 1 paper, h 2
  • Xiaolin Zhou — 1 paper, h 4
  • Xiaolin Zhou — 1 paper, h 14

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.ROShow all

4 papers · 1 filter

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.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…

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