activity
20242026
collaborators

8 papers

cs.RO2026

I2O2I-Nav: A Benchmark with a Modular Agent for Long-Horizon Indoor-to-Outdoor-to-Indoor Navigation

Zhengjie Shu, Wanyu Li, Di Xiao +11

Service and delivery robots often need to complete long-horizon navigation missions spanning indoor and outdoor environments. Existing embodied navigation benchmarks primarily eval…

cs.RO2026

SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control

Ruihua Han, Rui Gao, Zhe Liu +6

Safe and efficient shape-aware navigation in heterogeneous crowds and robot fleets remains challenging. Traditional approaches often assume homogeneous robots, sparse workspaces, s…

cs.CL2026

Bridging the Agent-World Gap: Text World Models for LLM-based Agents

Yixia Li, Hongru Wang, Peng Lai +13

Large language model (LLM)-based agents are increasingly used in interactive textual environments, from web navigation and code editing to tool use and long-horizon dialogue. Yet m…

cs.RO2026

IR-SIM: A Lightweight Declarative Simulator for Navigation Learning and Benchmarking

Ruihua Han, Shuai Wang, Chengyang Li +8

Developing navigation policies requires simulation scenarios that support repeatable training and evaluation. Despite the availability of numerous simulators, constructing diverse…

cs.CV2025

iPad: Iterative Proposal-centric End-to-End Autonomous Driving

Ke Guo, Haochen Liu, Xiaojun Wu +2

End-to-end (E2E) autonomous driving systems offer a promising alternative to traditional modular pipelines by reducing information loss and error accumulation, with significant pot…

cs.CV2025

Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction

Ganlong Zhao, Guanbin Li, Jia Pan +1

Aerial Vision-and-Language Navigation (Aerial VLN) aims to obtain an unmanned aerial vehicle agent to navigate aerial 3D environments following human instruction. Compared to groun…

cs.RO2025

LP-ICP: General Localizability-Aware Point Cloud Registration for Robust Localization in Extreme Unstructured Environments

Haosong Yue, Qingyuan Xu, Fei Chen +2

The Iterative Closest Point (ICP) algorithm is a crucial component of LiDAR-based SLAM algorithms. However, its performance can be negatively affected in unstructured environments…

cs.RO2024

Semantic2D: Enabling Semantic Scene Understanding with 2D Lidar Alone

Zhanteng Xie, Yipeng Pan, Yinqiang Zhang +2

This article presents a complete semantic scene understanding workflow using only a single 2D lidar. This fills the gap in 2D lidar semantic segmentation, thereby enabling the reth…