In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

摘要基于深度学习的三维数据分析理解是数字几何领域的一个研究热点. 不同于基于深度学习的
图像分析理解, 基于深度学习的三维数据分析理解需要解决的首要问题是数据表达的多样性 …

The COVID-19 pandemic imposes an increasing demand for service robots as a substitute
for humans to conduct various types of work in contaminated areas. Such work includes …

In this study, an autonomous robot navigation system is designed for live working on
distribution line. The developed system features a real‐time detection and motion planning …

Seamless positioning and navigation requires an integration of outdoor and indoor
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …

In this paper, a multilevel humanlike motion planning approach is proposed for indoor
mobile robots. Compared with existing approaches, the novelty of this paper is twofold: 1) …

To solve the autonomous navigation problem in complex environments, an efficient motion
planning approach is newly presented in this paper. Considering the challenges from large …

Robust and precise localization is essential for an autonomous system with navigation
requirements. Lidar odometry (LO) has been extensively studied in the past decades to …

In this paper, mobile robotics and present tools used in localization, mapping, and
navigation of a mobile robot are discussed. The main purpose of this paper is, given a map …

Steep slope vineyards are a complex scenario for the development of ground robots.
Planning a safe robot trajectory is one of the biggest challenges in this scenario …