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- Title
Energy Prediction of Cleanroom-type Differential Drive Mobile Robot Based on Recurrent Neural Network.
- Authors
Yanyong, Sarucha; Konghuayrob, Poom; Chaisiri, Punyavee; Kaitwanidvilai, Somyot
- Abstract
The battery charger time is a major issue for mobile robots. The study of the power usage of each component is important for optimizing the overall power consumption. Additionally, knowing the total energy consumption before commanding a robot to execute a task is essential for effective queue management and determining which robots are ready to execute tasks or move to the charging station. In this paper, we propose an energy modeling system consisting of an energy sensing technique, logging, and a recurrent neural network prediction model. The model is configured to recognize the dynamic system of the drive unit with the support of the robot operating system. The proposed model has a prediction error of only 3.58%. The simulation and experimental results demonstrate the effectiveness of the proposed system.
- Subjects
RECURRENT neural networks; MOBILE robots; AUTONOMOUS robots; DYNAMICAL systems; ENERGY consumption; BATTERY chargers
- Publication
Sensors & Materials, 2023, Vol 35, Issue 4, Part 3, p1497
- ISSN
0914-4935
- Publication type
Article
- DOI
10.18494/SAM4263