|
|
|
|
|
Guoquan Xiao, Guihong Zheng, Bing Ren, Yue Wang, Xiaobin Hong and Zhigang Zhang
In order to avoid the influence of the test system itself on the autonomous navigation and performance test accuracy of unmanned surface vehicles (USVs), a test method for the obstacle-avoidance performance of USVs based on mobile-buoy?shore multisource-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guoquan Xiao, Bing Ren, Chao Tong and Xiaobin Hong
In response to the urgent need for quantitative evaluation of the obstacle avoidance performance of an unmanned ship, a quantitative evaluation model is established to evaluate quantitatively the obstacle perception performance, static obstacle avoidance...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shubo Wang, Shaoqing Xu, Congwei Yu, Hecheng Wu, Qiang Liu, Dian Liu, Liujian Jin, Yi Zheng, Jianli Song and Xiongkui He
In recent years, with the further development of agricultural aviation technology, the plant protection UAV has been widely used, especially in some agricultural environments with limited operating conditions due to its advantages of high efficiency, env...
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
|
|
|
|
|
|
|
|
|
|
|
Zhao Wang, Hongjian Wang, Jianya Yuan, Dan Yu, Kai Zhang and Jingfei Ren
The complex underwater environment poses significant challenges for unmanned underwater vehicles (UUVs), particularly in terms of communication constraints and the need for precise cooperative obstacle avoidance and trajectory tracking. Addressing these ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari and Armantas Ostreika
The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles is ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiao Yang and Qilong Han
The avoidance of collisions among ships requires addressing various factors such as perception, decision-making, and control. These factors pose many challenges for autonomous collision avoidance. Traditional collision avoidance methods have encountered ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tyler Parsons, Fattah Hanafi Sheikhha, Omid Ahmadi Khiyavi, Jaho Seo, Wongun Kim and Sangdae Lee
As autonomous tractors become more common crop harvesting applications, the need to optimize the global servicing path becomes crucial for maximizing efficiency and crop yield. In recent years, several methods of path generation have been researched, but...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lihong Xu, Jiawei You and Hongliang Yuan
In order to meet the obstacle avoidance requirements of unmanned agricultural machinery in operation, it is necessary to plan a path to avoid obstacles in real time after obstacles are detected. However, the traditional path planning algorithm does not c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Linling Wang, Xiaoyan Xu, Bing Han and Huapeng Zhang
In this paper, multiple autonomous underwater vehicle (multi-AUV) formation control with obstacle avoidance ability in 3D complex underwater environments based on an event-triggered model predictive control (EMPC) is proposed. Firstly, multi-AUV motion m...
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
|
|
|
|
|
|
|
|
|
|
|
Guoqiang Hao, Qiang Lv, Zhen Huang, Huanlong Zhao and Wei Chen
The obstacle avoidance system of a drone affects the quality of its flight path. The artificial potential field method can react quickly when facing obstacles; however, the traditional artificial potential field method lacks consideration of the position...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guanqun Liu, Naifeng Wen, Feifei Long and Rubo Zhang
This study introduces a method for formation control and obstacle avoidance for multiple unmanned surface vehicles (USVs) by combining an artificial potential field with the virtual structure method. The approach involves a leader?follower formation stru...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Li, Jun Zhang, Fang Wang and Hanyun Zhou
The underactuated unmanned surface vessel (USV) has been identified as a promising solution for future maritime transport. However, the challenges of precise trajectory tracking and obstacle avoidance remain unresolved for USVs. To this end, this paper m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chuanwei Wang, Heng Zhang, Hongwei Ma, Saisai Wang, Xusheng Xue, Haibo Tian and Peng Liu
Tracked inspection robots have demonstrated their versatility in a wide range of applications. However, challenges arising from issues such as skidding and slipping have posed obstacles to achieving precise and efficient trajectory control. This paper in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Longfei Jia, Si Zeng, Lei Feng, Bohan Lv, Zhiyuan Yu and Yuping Huang
In this paper, a novel global time-varying path planning (GTVP) method is proposed. In the method, real-time paths can be generated based on tunable Bezier curves, which can realize obstacle avoidance of manipulators. First, finite feature points are ext...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruinan Chen, Jie Hu, Xinkai Zhong, Minchao Zhang and Linglei Zhu
Existing environment modeling approaches and trajectory planning approaches for intelligent vehicles are difficult to adapt to multiple scenarios, as scenarios are diverse and changeable, which may lead to potential risks. This work proposes a cognitive ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wubin Shi, Ke Wang, Chong Zhao and Mengqi Tian
In the future of automated production processes, the manipulator must be more efficient to complete certain tasks. Compared to single-arm robots, dual-arm robots have a larger workspace and stronger load capacity. Coordinated motion planning of multi-arm...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chuanwei Wang, Saisai Wang, Hongwei Ma, Heng Zhang, Xusheng Xue, Haibo Tian and Lei Zhang
Tracked inspection robots possess prominent advantages in dealing with severe environment rescue, safety inspection, and other important tasks, and have been used widely. However, tracked robots are affected by skidding and slipping, so it is difficult t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Enrique Aldao, Luis M. González-deSantos, Humberto Michinel and Higinio González-Jorge
In this work, a real-time collision avoidance algorithm was presented for autonomous navigation in the presence of fixed and moving obstacles in building environments. The current implementation is designed for autonomous navigation between waypoints of ...
ver más
|
|
|
|
|
|