Low power management for autonomous mobile robots using optimal control

2007 ◽  
Author(s):  
Wei Zhang ◽  
Jianghai Hu
Keyword(s):  
Optimal Control ◽  
Low Power ◽  
Mobile Robots ◽  
Power Management ◽  
Autonomous Mobile Robots

Docking System and Power Management for Autonomous Mobile Robots

2014 ◽  
Vol 590 ◽  
pp. 407-412 ◽  
Author(s):  
Antonio Carlos Acosta Calderon ◽  
Buck Sin Ng ◽  
Elara Rajesh Mohan ◽  
Heng Khai Ng
Keyword(s):  
Power System ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Power Management ◽  
Complete Solution ◽  
Autonomous Mobile Robots

Mobile robots’ tasks depends the batteries to supply power. Automated mobile robots should manage its power to maximize the battery performance. Docking and recharging are crucial abilities to ensure the performance of the power system. This paper presents a complete solution for a power system to address the problem of power management and autonomously recharging of batteries for a mobile robot. The main two aspects in this solution are the power management including charging of the batteries and the docking system are described in detail. The paper presents results that shown the feasibility of the proposed docking station for autonomous recharging. A comparison of different batteries tested in this project is also presented in the paper.

scholarly journals Determining Shape and Size of Personal Space of a Human when Passed by a Robot

2021 ◽  
Author(s):  
Margot M. E. Neggers ◽  
Raymond H. Cuijpers ◽  
Peter A. M. Ruijten ◽  
Wijnand A. IJsselsteijn
Keyword(s):  
Mobile Robots ◽  
Humanoid Robot ◽  
Personal Space ◽  
Human Robot Interaction ◽  
Autonomous Mobile Robots ◽  
Robot Interaction ◽  
Human Comfort ◽  
Navigation Algorithms ◽  
Insight Into ◽  
Shape And Size

AbstractAutonomous mobile robots that operate in environments with people are expected to be able to deal with human proxemics and social distances. Previous research investigated how robots can approach persons or how to implement human-aware navigation algorithms. However, experimental research on how robots can avoid a person in a comfortable way is largely missing. The aim of the current work is to experimentally determine the shape and size of personal space of a human passed by a robot. In two studies, both a humanoid as well as a non-humanoid robot were used to pass a person at different sides and distances, after which they were asked to rate their perceived comfort. As expected, perceived comfort increases with distance. However, the shape was not circular: passing at the back of a person is more uncomfortable compared to passing at the front, especially in the case of the humanoid robot. These results give us more insight into the shape and size of personal space in human–robot interaction. Furthermore, they can serve as necessary input to human-aware navigation algorithms for autonomous mobile robots in which human comfort is traded off with efficiency goals.

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