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A Real-Time Near Optimal Trajectory Planning and Control Scheme for Autonomous Wheelchair Evacuation Tasks

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摘要 Motion planning and control of autonomous mobile robots(AMRs)have attracted widespread attention in recent years.As the problem of aging intensifies,it is significant to develop AMRs for the wellbeing of old people.In this paper,a novel long short-term memory(LSTM)-recurrent deep neural network(RDNN)based motion planning and control strategy with data aggregation mechanism is developed for autonomous wheelchairs(AWC)to send the seniors to the exit of the nursing home in a timely manner when emergencies happen.The proposed scheme is verified to be feasible,efficient and robust.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2024年第6期481-492,共12页 北京理工大学学报(英文版)
基金 supported by the Sanming Project of Medicine in Shenzhen(No.SZSM202111001)。
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