|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Ke Zhang, Liwen Huang, Xiao Liu, Jiahao Chen, Xingya Zhao, Weiguo Huang and Yixiong He
In the last few years, autonomous ships have attracted increasing attention in the maritime industry. Autonomous ships with an autonomous collision avoidance capability are the development trend for future ships. In this study, a ship manoeuvring process...
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
|
|
|
|
|
|
|
|
|
|
|
Jia Ren, Jing Zhang and Yani Cui
Focusing on the collision avoidance problem for Unmanned Surface Vehicles (USVs) in the scenario of multi-vessel encounters, a USV autonomous obstacle avoidance algorithm based on the improved velocity obstacle method is proposed. The algorithm is compos...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kai Liu, Jianwei Gong, Shuping Chen, Yu Zhang and Huiyan Chen
This paper presents a model predictive control (MPC) scheme for the stabilization of high-speed autonomous ground vehicles (AGVs) considering the effect of road topography. Accounting for the road curvature and bank angle, a single-track dynamic model wi...
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
|
|
|
|
|
|
|
|
|
|
|
Timothy Sands, Kevin Bollino, Isaac Kaminer and Anthony Healey
Submersed obstacle avoidance in unknown ocean currents via guidance, navigation, and control for autonomous underwater vehicles.
|
|
|
|
|
|
|
|
|
|
|
Guoquan Xiao, Guihong Zheng, Chao Tong and Xiaobin Hong
An overall framework of the virtual testing system has been established based on the analysis of the virtual testing requirements for autonomous navigation performance of unmanned surface vehicles (USVs). This system consists of several modules, includin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rafael Guardeño, Manuel J. López, Jesús Sánchez and Agustín Consegliere
This work is focused on reactive Static Obstacle Avoidance (SOA) methods used to increase the autonomy of Unmanned Surface Vehicles (USVs). Currently, there are multiple approaches to avoid obstacles, which can be applied to different types of USV. In or...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wen-Chieh Chen, Chun-Liang Lin, Yang-Yi Chen and Hsin-Hsu Cheng
Unmanned aerial vehicles (UAVs) are becoming popular in various applications. However, there are still challenging issues to be tackled, such as effective obstacle avoidance, target identification within a crowd, and specific target tracking. This paper ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Meiyan Zhang, Wenyu Cai, Qinan Xie and Shenyang Xu
As we know, for autonomous robots working in a complex underwater region, obstacle avoidance design will play an important role in underwater tasks. In this paper, a binocular-vision-based underwater obstacle avoidance mechanism is discussed and verified...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haitong Xu, Miguel A. Hinostroza and C. Guedes Soares
A modified path-following control system using the vector field method for an underactuated autonomous surface ship model is proposed in the presence of static obstacles. With this integrated system, autonomous ships are capable of following the predefin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yushan Sun, Xiaokun Luo, Xiangrui Ran and Guocheng Zhang
This research aims to solve the safe navigation problem of autonomous underwater vehicles (AUVs) in deep ocean, which is a complex and changeable environment with various mountains. When an AUV reaches the deep sea navigation, it encounters many underwat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhihan Xue and Tad Gonsalves
Research on autonomous obstacle avoidance of drones has recently received widespread attention from researchers. Among them, an increasing number of researchers are using machine learning to train drones. These studies typically adopt supervised learning...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rui Mu, Wenhao Yu, Zhongxing Li, Changjun Wang, Guangming Zhao, Wenhui Zhou and Mingyue Ma
This work designed a motion planning algorithm for autonomous vehicles in unanticipated obstacle scenarios. In standard driving scenarios, the proposed motion planning algorithm plans a trajectory that complies with intersection regulations, including la...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fuyang Tian, Xinwei Wang, Sufang Yu, Ruixue Wang, Zhanhua Song, Yinfa Yan, Fade Li, Zhonghua Wang and Zhenwei Yu
Existing push robots mainly use magnetic induction technology. These devices are susceptible to external electromagnetic interference and have a low degree of intelligence. To make up for the insufficiency of the existing material pushing robots, and at ...
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
|
|
|
|
|
|