Simultaneous localization and mapping (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …

The success of re-localisation has crucial implications for the practical deployment of robots
operating within a prior map or relative to one another in real-world scenarios. Using single …

Robot person following (RPF) is a crucial capability in human-robot interaction (HRI)
applications, allowing a robot to persistently follow a designated person. In practical RPF …

To cope with distribution shifts or non-stationarity in system dynamics, online adaptation
algorithms have been introduced to update offline-learned prediction models in real-time …

In the realm of robotics, the quest for achieving real-world autonomy, capable of executing
large-scale and long-term operations, has positioned place recognition (PR) as a …

机器地图是为提升无人平台复杂环境认知与理解能力而提出的一类新型地图.
本文以机器地图的概念模型为基础, 从认知科学视角提出一种以记忆结构与过程为参考 …

Although LiDAR SLAM has been widely studied over the past decades, it suffers from
degradation situation, particularly for sparse-channel LiDAR. This study proposes a hybrid …

Model-free learning-based control methods have recently shown significant advantages
over traditional control methods in avoiding complex vehicle characteristic estimation and …

We propose a lifelong 3D mapping framework that is modular, cloud-native by design and
more importantly, works for both hand-held and robot-mounted 3D LiDAR mapping systems …

Visual place recognition (VPR) is an essential component of many autonomous and
augmented/virtual reality systems. It enables the systems to robustly localize themselves in …