Historical and futuristic perspectives of robotics

Ge, Shuzhi Sam; Zhao, Dongjie; Li, Dongyu; Mao, Xuewei; Nemati, Alireza

doi:10.1007/s10015-020-00613-7

Cited by 1 publication

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(4) A moving obstacle is detected in a narrow corridor. (5) If the obstacle approaches the intelligent wheelchair robot in the vertical path direction, the waiting algorithm is executed to wait for the obstacle to pass and then move on…”

Section: Fuzzification Of Knowledge and Defuzzification Ofmentioning

confidence: 99%

“…There are two main types of wheelchairs on the market at this stage, namely, manual wheelchairs and electric wheelchairs. Manual wheelchairs rely on human power to propel the wheelchair movement, while electric wheelchairs use joysticks to control wheelchair movement [5]. These wheelchairs are only controlled manually by the user during operation, which will not only cause driving fatigue but also may not be ideally controlled due to the user's personal factors, and even a safety accident may occur in serious cases.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Path Planning of a Multifunctional Elderly Intelligent Wheelchair Based on the Sensor and Fuzzy Bayesian Network Algorithm

Kong¹,

Li²

2022

Journal of Sensors

View full text Add to dashboard Cite

An intelligent wheelchair is a kind of service robot. The most critical part of its research field is the safe navigation control of a wheelchair, and path planning is the core part of the navigation control system. The use of a reasonable obstacle avoidance algorithm can not only ensure the safe navigation of wheelchair but also protect the personal safety of users. This paper analyzes the actual needs of the wheelchair following system according to the application scenarios and determines the way to follow the target. The sensor scheme and the wheelchair mobile platform are selected through the analysis of the following methods and the characteristics of each sensor, and the overall architecture of the wheelchair hardware system is designed. Then, the key components such as processor, laser ranging radar, signal strength positioning module, and ultrasonic sensor in the hardware system are selected, and the corresponding peripheral circuit is designed according to the interface type and working voltage of the sensor. In order to solve the problems of the complex calculation process, one-way reasoning, and poor accuracy of the original fault tree method, this paper designs an expert knowledge inference machine based on the Bayesian network. After completing the definition of component vulnerability, the inference engine can be activated, the construction of the directed acyclic network is completed based on the knowledge model mapping of the fault tree, the conditional probability table definition of the directed edge is completed, and the bidirectional probability inference of the Bayesian network can be started. Diagnostic inference obtains the posterior probability to characterize the system impact degree of the bottom event failure. Based on a comprehensive analysis of the research status and research trend of intelligent wheelchair obstacle avoidance path planning methods, this paper mainly studies the intelligent wheelchair path planning method. The environment modeling and path planning of global path planning for static obstacles and dynamic obstacles are realized, and a simulation platform for wheelchair obstacle avoidance path planning based on MATLAB is designed, and simulation experiments are carried out on this basis. The effectiveness of the studied algorithms and strategies in the dynamic obstacle environment is verified by simulation experiments.

show abstract

Section: Fuzzification Of Knowledge and Defuzzification Ofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%