An integrated approach for path planning and control for autonomous mobile robots

2016 ◽  
Author(s):  
Arathy Aravindan ◽  
Shyba Zaheer ◽  
Tauseef Gulrez
Keyword(s):  
Path Planning ◽  
Mobile Robots ◽  
Integrated Approach ◽  
Autonomous Mobile Robots ◽  
Planning And Control ◽  
And Control

scholarly journals Energy Modeling and Power Measurement for Three-Wheeled Omnidirectional Mobile Robots for Path Planning

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 843 ◽  
Author(s):  
Linfei Hou ◽  
Liang Zhang ◽  
Jongwon Kim
Keyword(s):  
Path Planning ◽  
Power Consumption ◽  
Mobile Robots ◽  
High Mobility ◽  
Intelligent Manufacturing ◽  
Power Measurement ◽  
Research Focus ◽  
Planning And Control ◽  
Perfect Symmetry ◽  
And Control

Due to their high mobility, mobile robots (MR) are widely used in intelligent manufacturing. Due to the perfect symmetry of the MR of the three-wheeled moving chassis, it can move quickly in a crowded and complex factory environment. Because it is powered by a lithium battery, in order to improve its energy efficiency, we need to ensure that its power consumption is reduced as much as possible in order to avoid frequent battery replacement. The power consumption of MRs has also become an important research focus for researchers. Therefore, a power consumption modeling of the omnidirectional mobility of the three-wheeled omnidirectional mobile robot (TOMR) is proposed in this paper. When TOMR advances heading at different angles, the speed of each wheel changes dramatically. So, the power consumption of robots will also be greatly changed. In this paper, the energy and power consumption of the robot heading in different directions is analyzed and modeled by formulas. This research can be valuable for path planning and control design.

State-chain sequential feedback reinforcement learning for path planning of autonomous mobile robots

2013 ◽  
Vol 14 (3) ◽  
pp. 167-178 ◽  
Author(s):  
Xin Ma ◽  
Ya Xu ◽  
Guo-qiang Sun ◽  
Li-xia Deng ◽  
Yi-bin Li
Keyword(s):  
Reinforcement Learning ◽  
Path Planning ◽  
Mobile Robots ◽  
Autonomous Mobile Robots
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