2021
DOI: 10.3390/s21051800
|View full text |Cite
|
Sign up to set email alerts
|

Practical Model for Energy Consumption Analysis of Omnidirectional Mobile Robot

Abstract: The four-wheeled Mecanum robot is widely used in various industries due to its maneuverability and strong load capacity, which is suitable for performing precise transportation tasks in a narrow environment. While the Mecanum wheel robot has mobility, it also consumes more energy than ordinary robots. The power consumed by the Mecanum wheel mobile robot varies enormously depending on their operating regimes and environments. Therefore, only knowing the working environment of the robot and the accurate power co… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 11 publications
(6 citation statements)
references
References 34 publications
0
6
0
Order By: Relevance
“…These methods have made good progress in the control of legged robots. The feasibility of the traditional [19][20][21][22][23] approach can be directly observed since it usually uses different platforms for simulation, planning, and control, and the obtained data are imported into the robot control system for experiments. However, repeated attempts are inefficient and often accompanied by problems such as damage to the body, slow progress, and unsatisfactory results.…”
Section: Deep Reinforcement Learning Techniques To Automatementioning
confidence: 99%
“…These methods have made good progress in the control of legged robots. The feasibility of the traditional [19][20][21][22][23] approach can be directly observed since it usually uses different platforms for simulation, planning, and control, and the obtained data are imported into the robot control system for experiments. However, repeated attempts are inefficient and often accompanied by problems such as damage to the body, slow progress, and unsatisfactory results.…”
Section: Deep Reinforcement Learning Techniques To Automatementioning
confidence: 99%
“…The mechanical structure is a robot composed of wheat wheel chassis, launching structure, collection device, and spring plucking device, which makes the robot have strong flexibility [3] . It can launch tennis balls while collecting tennis balls and continuously carry out tennis training.…”
Section: Mechanical Design Modelmentioning
confidence: 99%
“…Zhao et al (2022) proposed a Q‐learning dynamic routing algorithm to balance the tradeoff between the energy consumption and the network robustness. Additionally, some studies have explored the energy consumption of robots operating on different terrains and proposed methods for predicting energy consumption on these terrains (Hou et al, 2021; Visca et al, 2021; Wei et al, 2022).…”
Section: Introductionmentioning
confidence: 99%