Mobile robot battery life estimation: battery energy use of an unmanned ground vehicle

2021 ◽  
Author(s):  
Arnon Hurwitz ◽  
James M. Dotterweich ◽  
Trevor Rocks
Keyword(s):  
Mobile Robot ◽  
Energy Use ◽  
Battery Life ◽  
Unmanned Ground Vehicle ◽  
Ground Vehicle ◽  
Life Estimation ◽  
Battery Energy

Mobile Robot Decision-Making Based on Offline Simulation for Navigation over Uneven Terrain

2018 ◽  
Vol 30 (4) ◽  
pp. 671-682
Author(s):  
Yuichi Kobayashi ◽  
Masato Kondo ◽  
Yuji Hiramatsu ◽  
Hokuto Fujii ◽  
Tsuyoshi Kamiya ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Path Selection ◽  
Outdoor Environment ◽  
Selection Strategy ◽  
Unmanned Ground Vehicle ◽  
Ground Vehicle ◽  
Uneven Terrain ◽  
Simulated Environment ◽  
Terrain Features ◽  
Selection Of

This paper presents an action decision framework for an autonomous mobile robot or an unmanned ground vehicle (UGV) to navigate an unknown environment. It is difficult for a UGV without global map information to decide which path to travel when it comes to a fork. However, locally observed terrain features can enable the UGV if it can utilize its past experience. The proposed path selection method utilizes correlations between features of the local terrain obtained by its laser range finder and the values of paths obtained through offline simulation using global path planning. During navigation, the UGV estimates the values of each path at a fork based on the correlation between the terrain feature and the value. It was confirmed that the proposed method allows the selection of paths that are more effective compared with a simple path selection strategy with which the UGV selects the closer path to the goal. The proposed method was evaluated in both a simulated environment and a real outdoor environment.

Unmanned Ground Vehicle SysML Navigation Model Conducted by Energy Efficiency

2014 ◽  
Vol 905 ◽  
pp. 443-447
Author(s):  
Eero Väljaots ◽  
Raivo Sell
Keyword(s):  
Mobile Robot ◽  
Design Methodology ◽  
Design Stage ◽  
Unmanned Ground Vehicle ◽  
Ground Vehicle ◽  
Early Design ◽  
Early Design Stage ◽  
Detail Design ◽  
Snow Plowing ◽  
Robot Platform

In this paper a SysML navigation models and early design methodology is briefly introduced. The methodology is offering tool and pre-defined models for mobile robot design in early design stage. The main target is reaching the optimal and efficient conceptual solution for detail design stage by using the pre-defined and validated SysML models according to the robot purpose and missions. As an example a snow plowing mission is demonstrated. Real mobile robot platform called UKU is developed and used for model validation purpose.

scholarly journals Design and Control of an Unmanned Ground Vehicle for Search and Rescue Missions

2018 ◽  
Vol 1 (1) ◽  
pp. 66-71
Author(s):  
Kamran Ahmed Shahani ◽  
Song Hong ◽  
Chaopeng WU ◽  
Syed Raza Mehdi ◽  
Kazim Raza ◽  
...  
Keyword(s):  
Wireless Communication ◽  
Mobile Robot ◽  
Communication Technology ◽  
Search And Rescue ◽  
Unmanned Ground Vehicle ◽  
Ground Vehicle ◽  
Unmanned System ◽  
And Performance ◽  
And Control

This paper focuses on the design and control of unmanned ground vehicle for search and rescue missions which is controlled remotely. This robot is able to move on a variety of surfaces, also having capability of Picking and Placing of various objects and overcome the dangerous areas. The unmanned system is controlled wirelessly using Xbee wireless communication technology. A camera is attached on this mobile robot for live feedback purpose.  Many experiments are conducted to test the potential and performance of the robot.

Design and Realization of an All-terrain Unmanned Ground Vehicle

ROBOT ◽  
2013 ◽  
Vol 35 (6) ◽  
pp. 657 ◽  
Author(s):  
Taoyi ZHANG ◽  
Tianmiao WANG ◽  
Yao WU ◽  
Qiteng ZHAO
Keyword(s):  
Unmanned Ground Vehicle ◽  
Ground Vehicle

Unmanned Ground Vehicle for Security and Surveillance

2020 ◽  
Author(s):  
Prajot P. Kulkarni ◽  
Shubham R. Kutre ◽  
Shravan S. Muchandi ◽  
Pournima Patil ◽  
Shankargoud Patil
Keyword(s):  
Unmanned Ground Vehicle ◽  
Ground Vehicle

scholarly journals Collaborative Pursuit-Evasion Strategy of UAV/UGV Heterogeneous System in Complex Three-Dimensional Polygonal Environment

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Xiao Liang ◽  
Honglun Wang ◽  
Haitao Luo
Keyword(s):  
Visual Field ◽  
Heterogeneous System ◽  
Three Dimensional ◽  
Unmanned Ground Vehicle ◽  
Worst Case ◽  
Ground Vehicle ◽  
Pursuit Evasion ◽  
Evasion Game ◽  
Evasion Strategy ◽  
Aerial Vehicle

The UAV/UGV heterogeneous system combines the air superiority of UAV (unmanned aerial vehicle) and the ground superiority of UGV (unmanned ground vehicle). The system can complete a series of complex tasks and one of them is pursuit-evasion decision, so a collaborative strategy of UAV/UGV heterogeneous system is proposed to derive a pursuit-evasion game in complex three-dimensional (3D) polygonal environment, which is large enough but with boundary. Firstly, the system and task hypothesis are introduced. Then, an improved boundary value problem (BVP) is used to unify the terrain data of decision and path planning. Under the condition that the evader knows the position of collaborative pursuers at any time but pursuers just have a line-of-sight view, a worst case is analyzed and the strategy between the evader and pursuers is studied. According to the state of evader, the strategy of collaborative pursuers is discussed in three situations: evader is in the visual field of pursuers, evader just disappears from the visual field of pursuers, and the position of evader is completely unknown to pursuers. The simulation results show that the strategy does not guarantee that the pursuers will win the game in complex 3D polygonal environment, but it is optimal in the worst case.

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