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Junlin Lou, Burak Yuksek, Gokhan Inalhan and Antonios Tsourdos
In this study, we consider the problem of motion planning for urban air mobility applications to generate a minimal snap trajectory and trajectory that cost minimal time to reach a goal location in the presence of dynamic geo-fences and uncertainties in ...
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Andréas Guitart, Daniel Delahaye and Eric Feron
This paper addresses the generation of aircraft emergency trajectories with obstacle avoidance. After presenting in detail the fast marching tree algorithm, in this paper we propose an improvement of its performance. First, the free space checking functi...
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Yicong Guo, Xiaoxiong Liu, Xuhang Liu, Yue Yang and Weiguo Zhang
In complex environments, path planning is the key for unmanned aerial vehicles (UAVs) to perform military missions autonomously. This paper proposes a novel algorithm called flight cost-based Rapidly-exploring Random Tree star (FC-RRT*) extending the sta...
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Shengshi Cao, Pingyi Fan, Tao Yan, Cheng Xie, Jian Deng, Feng Xu and Yaqing Shu
Ship path planning is crucial for the shipping industry, especially for the development of autonomous ships. Many algorithms have been developed over the last few decades to solve the ship path planning problem. However, it is still challenging for ship ...
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Gang Chen, Hong You, Zeyuan Huang, Junting Fei, Yifan Wang and Chuankai Liu
This paper presents an efficient path planning method for the lunar rover to improve the autonomy and exploration ability in the complex and unstructured lunar surface environment. Firstly, the safe zone for the rover?s motion is defined, based on which ...
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Ruijun Hu and Yulin Zhang
The global path planning of planetary surface rovers is crucial for optimizing exploration benefits and system safety. For the cases of long-range roving or obstacle constraints that are time-varied, there is an urgent need to improve the computational e...
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Puyong Xu, Ning Wang, Shi-Lu Dai and Lei Zuo
In this paper, a mobile robot motion planning method with modified BIT* (batch informed trees) and MPC (Model Predictive Control) is presented. The conventional BIT* was modified here by integrating a stretch method that improves the path points connecti...
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Leyang Zhao, Li Yan, Xiao Hu, Jinbiao Yuan and Zhenbao Liu
The ability of an autonomous Unmanned Aerial Vehicle (UAV) in an unknown environment is a prerequisite for its execution of complex tasks and is the main research direction in related fields. The autonomous navigation of UAVs in unknown environments requ...
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Hongwen Zhang and Zhanxia Zhu
Motion planning is one of the most important technologies for free-floating space robots (FFSRs) to increase operation safety and autonomy in orbit. As a nonholonomic system, a first-order differential relationship exists between the joint angle and the ...
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Tedjo Soelaksono,Achmad Sudiro,Mintarti Rahayu,Sudjatno Sudjatno
Pág. 22 - 32
Purpose of this study was to analyze the influence of managerial capabilities to the company's competitiveness through strategic planning, investment, innovation and the company's performance in the manufacturing industry in the mid-scale class B Gerbang...
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