|
|
|
|
|
Jonghoek Kim
Three dimensional path planner is crucial for the safe navigation of autonomous vehicles (AV), such as unmanned aerial vehicles or unmanned underwater vehicles, which operate in three dimensions. In this paper, we develop a novel 3D path planner, which i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shunan Hu, Shenpeng Tian, Jiansen Zhao and Ruiqi Shen
In order to ensure the safe navigation of USVs (unmanned surface vessels) and real-time collision avoidance, this study conducts global and local path planning for USVs in a variable dynamic environment, while local path planning is proposed under the co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maria Höffmann, Shruti Patel and Christof Büskens
Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing CCPP is particularly significant in precision agriculture, where it enhances resource utilization, reduces soil compaction, and boosts crop yields. This work offers ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Moon Hwan Kim, Teasuk Yoo, Seok Joon Park and Kyungwon Oh
Autonomous Underwater Vehicles (AUVs) have emerged as pivotal tools for intricate underwater missions, spanning seafloor exploration to meticulous inspection of subsea infrastructures such as pipelines and cables. Although terrestrial obstacle avoidance ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qihong Chen, Qingsong Zhao and Zhigang Zou
Unmanned aerial vehicle (UAV) cluster combat is a typical example of an intelligent cluster application, and it is characterized by its large scale, low cost, retrievability, and intra-cluster autonomous coordination. An unmanned reconnaissance mission f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Flavia Causa, Armando Franzone and Giancarmine Fasano
Urban air mobility requires safe and efficient airspace management, as well as effective path planning and decision-making capabilities to enable access to the urban airspace, which is predicted to be very densely populated. This paper tackles the proble...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huangchuang Zhang and Ge Li
With the improvement of urban infrastructure and the increase in the coverage of high-rise buildings, the demand for location information services inside buildings is becoming more and more urgent. Moreover, indoor path planning, as a prerequisite and ba...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bowen Xing, Xiao Wang and Zhenchong Liu
The path planning strategy of deep-sea mining vehicles is an important factor affecting the efficiency of deep-sea mining missions. However, the current traditional path planning algorithms suffer from hose entanglement problems and small coverage in the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shaobo Wang, Fen Lin, Tiancheng Wang, Youqun Zhao, Liguo Zang and Yaoji Deng
Different driving styles should be considered in path planning for autonomous vehicles that are travelling alongside other traditional vehicles in the same traffic scene. Based on the drivers? characteristics and artificial potential field (APF), an impr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuo Liu, Bohan Feng, Youyi Bi and Dan Yu
Mobile robots play an important role in smart factories, though efficient task assignment and path planning for these robots still present challenges. In this paper, we propose an integrated task- and path-planning approach with precedence constrains in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jia Song, Kai Zhao and Yang Liu
The task assignment issue and the path planning problem of Multiple Unmanned Aerial Vehicles (Multi-UAV) are collectively referred to as the Mission Planning Problem (MPP). This review article provides an update on the progress of the MPP on Multi-UAV. F...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rohit Chowdhury, Atharva Navsalkar and Deepak Subramani
The importance of autonomous marine vehicles is increasing in a wide range of ocean science and engineering applications. Multi-objective optimization, where trade-offs between multiple conflicting objectives are achieved (such as minimizing expected mis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ziyu Zhao and Lin Bi
During the operation of open-pit mining, the loading position of a haulage truck often changes, bringing a new challenge concerning how to plan an optimal truck transportation path considering the terrain factors. This paper proposes a path planning meth...
ver más
|
|
|
|
|
|
|
|
|
|
|
Li-Mei Duan
Pág. pp. 176 - 192
To make the picking path planning of warehousing and logistics robot in warehouse more efficient and real-time, a path planning for batch picking of warehousing and logistics robots based on the modified A* algorithm was put forward. First of all, the pa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Baodong Ma, Quan Liu, Ziwei Jiang, Defu Che, Kehan Qiu and Xiangxiang Shang
Path planning is widely used in many domains, and it is crucial for the advancement of map navigation, autonomous driving, and robot path planning. However, existing path planning methods have certain limitations for complex field scenes with undulating ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhonghua Hong, Pengfei Sun, Xiaohua Tong, Haiyan Pan, Ruyan Zhou, Yun Zhang, Yanling Han, Jing Wang, Shuhu Yang and Lijun Xu
To overcome the limitation of poor processing times for long-distance off-road path planning, an improved A-Star algorithm based on terrain data is proposed in this study. The improved A-Star algorithm for long-distance off-road path planning tasks was d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiajia Fan, Ye Li, Yulei Liao, Wen Jiang, Leifeng Wang, Qi Jia and Haowei Wu
When utilizing the traditional path planning method for unmanned surface vehicles (USVs), ?planning-failure? is a common phenomenon caused by the inflection points of large curvatures in the planned path, which exceed the performances of USVs. This paper...
ver más
|
|
|
|
|
|
|
|
|
|
|
|
Chenglou Liu, Fangfang Xie and Tingwei Ji
Formation path planning is a significant cornerstone for unmanned aerial vehicle (UAV) swarm intelligence. Previous methods were not suitable for large-scale UAV formation, which suffered from poor formation maintenance and low planning efficiency. To th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chaopeng Yang, Jiacai Pan, Kai Wei, Mengjie Lu and Shihao Jia
Ocean currents make it difficult for unmanned surface vehicles (USVs) to keep a safe distance from obstacles. Effective path planning should adequately consider the effect of ocean currents on USVs. This paper proposes an improved A* algorithm based on a...
ver más
|
|
|
|
|
|