activity
20172026
most citedIntensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

305 citations · 985 across the 24 of their papers we have counts for

collaborators

24 papers

cs.RO2026

A Deployable Embodied Vision-Language Navigation System with Hierarchical Cognition and Context-Aware Exploration

Kuan Xu, Ruimeng Liu, Yizhuo Yang +5

Bridging the gap between embodied intelligence and embedded deployment remains a key challenge in intelligent robotic systems, where perception, reasoning, and planning must operat…

cs.RO2023

PyPose v0.6: The Imperative Programming Interface for Robotics

Zitong Zhan, Xiangfu Li, Qihang Li +33

PyPose is an open-source library for robot learning. It combines a learning-based approach with physics-based optimization, which enables seamless end-to-end robot learning. It has…

cs.RO2023★ 1 cited

SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments

Shibo Zhao, Yuanjun Gao, Tianhao Wu +18

Simultaneous localization and mapping (SLAM) is a fundamental task for numerous applications such as autonomous navigation and exploration. Despite many SLAM datasets have been rel…

cs.RO2023★ 6 cited

Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models

Eric Chen, Cherie Ho, Mukhtar Maulimov +2

Autonomous offroad driving is essential for applications like emergency rescue, military operations, and agriculture. Despite progress, systems struggle with high-speed vehicles ex…

cs.CV2023

VoxDet: Voxel Learning for Novel Instance Detection

Bowen Li, Jiashun Wang, Yaoyu Hu +2

Detecting unseen instances based on multi-view templates is a challenging problem due to its open-world nature. Traditional methodologies, which primarily rely on 2D representation…

cs.CV2023

AirLoc: Object-based Indoor Relocalization

Aryan, Bowen Li, Sebastian Scherer +2

Indoor relocalization is vital for both robotic tasks like autonomous exploration and civil applications such as navigation with a cell phone in a shopping mall. Some previous appr…