activity
20192026
most citedRobot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments

2 citations · 2 across the 6 of their papers we have counts for

collaborators

14 papers

cs.RO2026

EgoSteer: A Full-Stack System Towards Steerable Dexterous Manipulation from Egocentric Videos

Yifan Zhong, Zhang Chen, Tianrui Guan +13

Steerability is a defining capability of generalist robot policies, yet remains largely absent in dexterous-hand systems for lack of large-scale, language-aligned, and action-accur…

cs.RO2026

Paired-CSLiDAR: Height-Stratified Registration for Cross-Source Aerial-Ground LiDAR Pose Refinement

Montana Hoover, Jing Liang, Tianrui Guan +1

We introduce Paired-CSLiDAR (CSLiDAR), a cross-source aerial-ground LiDAR benchmark for single-scan pose refinement: refining a ground-scan pose within a 50 m-radius aerial crop. T…

cs.RO2025

NavMoE: Hybrid Model- and Learning-based Traversability Estimation for Local Navigation via Mixture of Experts

Botao He, Amir Hossein Shahidzadeh, Yu Chen +8

This paper explores traversability estimation for robot navigation. A key bottleneck in traversability estimation lies in efficiently achieving reliable and robust predictions whil…

cs.RO20242 cited

Robot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments

Mohamed Elnoor, Kasun Weerakoon, Gershom Seneviratne +5

We present a novel autonomous robot navigation algorithm for outdoor environments that is capable of handling diverse terrain traversability conditions. Our approach, VLM-GroNav, u…

cs.CV2024

FALCON: Future-Aware Learning with Contextual Object-Centric Pretraining for UAV Action Recognition

Ruiqi Xian, Xiyang Wu, Tianrui Guan +3

We introduce FALCON, a unified self-supervised video pretraining approach for UAV action recognition from raw RGB aerial footage, requiring no additional preprocessing at inference…

cs.CV2024

LOC-ZSON: Language-driven Object-Centric Zero-Shot Object Retrieval and Navigation

Tianrui Guan, Yurou Yang, Harry Cheng +5

In this paper, we present LOC-ZSON, a novel Language-driven Object-Centric image representation for object navigation task within complex scenes. We propose an object-centric image…