5 papers · 1 filter
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…
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…
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…
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…
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…