Path Planning of Escort Robot Based on Improved Quantum Particle Swarm Optimization

Jiao, Minghai; Wei, He-xiang; Zhang, Bowen; Jin, Jianxun; Jia, Zhen-qiang

doi:10.1109/ccdc.2019.8833185

Cited by 7 publications

(12 citation statements)

References 10 publications

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“…When it is applied to the SOA, the probability of mutation is 0.8. e individual positions are taken for the refraction reverse learning according to (19) to get the new individual positions. In the formula, i is the ith individual, and j is the individual dimension.…”

Section: E Refraction Reversementioning

confidence: 99%

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An Elastic Collision Seeker Optimization Algorithm for Optimization Constrained Engineering Problems

Duan

Luo

Liu

2022

Mathematical Problems in Engineering

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To improve the seeker optimization algorithm (SOA), an elastic collision seeker optimization algorithm (ECSOA) was proposed. The ECSOA evolves some individuals in three situations: completely elastic collision, completely inelastic collision, and non-completely elastic collision. These strategies enhance the individuals’ diversity and avert falling into the local optimum. The ECSOA is compared with the particle swarm optimization (PSO), the simulated annealing and genetic algorithm (SA_GA), the gravitational search algorithm (GSA), the sine cosine algorithm (SCA), the multiverse optimizer (MVO), and the seeker optimization algorithm (SOA); then, fifteen benchmark functions, four PID control parameter models, and six constrained engineering optimization problems were selected for the experiment. According to the experimental results, the ECSOA can be used in the benchmark functions, the PID control parameter optimization, and the optimization constrained engineering problems. The optimization ability and robustness of ECSOA are better.

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Section: E Refraction Reversementioning

confidence: 99%

“…e adaptive inertia weight factor in the traditional PSO optimizes path planning [19]. e PSO based on Gaussian and quantum behavior optimizes constrained engineering problems [20].…”

Section: Introductionmentioning

confidence: 99%

An Elastic Collision Seeker Optimization Algorithm for Optimization Constrained Engineering Problems

Duan

Luo

Liu

2022

Mathematical Problems in Engineering

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“…Li et al developed an effective Improved Artificial Potential Field-based Simultaneous Forward Search (Improved APF-based SIFORS) method in a known environment [7]. Jiao et al performed an improved quantum particle swarm optimization algorithm to solve the path planning model [8]. Tharwat et al proposed a new chaos particle swarm optimization algorithm to optimize the control points of Bezier curve [9].…”

Section: Development Trend Of Robot Path Planning Algorithmmentioning

confidence: 99%

An Improved Simulated Annealing Particle Swarm Optimization Algorithm for Path Planning of Mobile Robots Using Mutation Particles

Zhang

2021

Wireless Communications and Mobile Computing

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Artificial intelligence technology has brought tremendous changes to human life and production methods. Mobile robots, UAVs, and autonomous driving technology have gradually entered people’s daily life. As a typical issue for a mobile robot, the planning of an optimal mobile path is very important, especially in the military and emergency rescue. In order to ensure the efficiency of operation and the accuracy of the path, it is crucial for the robot to find the optimal path quickly and accurately. This paper discusses a new method and MP-SAPSO algorithm for addressing the issue of path planning based on the PSO algorithm by combining particle swarm optimization (PSO) algorithm with the simulated annealing (SA) algorithm and mutation particle and adjusting the parameters. The MP-SAPSO algorithm improves the accuracy of path planning and the efficiency of robot operation. The experiment also demonstrates that the MP-SAPSO algorithm can be used to effectively address path planning issue of mobile robots.

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“…Second, some escort robots lack intelligent interactive functions, and the anti-interference of voice recognition is not strong; especially, in a more chaotic environment, the recognition accuracy is very low [3]. ird, most escort robots lack the ability to perceive the environment and cannot perceive their own environment in a timely and effective manner, which leads to the problem of unity and limitation in the scope of use [4]. At the same time, when elderly people interact with robots with gestures, we noticed a problem.…”

Section: Introductionmentioning

confidence: 99%

Research on Intention Flexible Mapping Algorithm for Elderly Escort Robot

Qiu

Feng

et al. 2021

Scientific Programming

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With the development of science and technology and the intensification of the aging of the world’s population, elderly care robots have begun to enter people’s lives. However, the current elderly care system lacks intelligence and is just a simple patchwork of some traditional elderly products, which is not conducive to the needs of the elderly for easy understanding and easy operation. Therefore, this paper proposes a flexible mapping algorithm (FMFD), that is, a gesture can correspond to a flexible mapping of multiple semantics in the same interactive context. First, combine the input gesture with the surrounding environment to establish the current interactive context. Secondly, when the user uses the same gesture to express different semantics, the feature differences formed due to different cognitions are used as the basis to realize the mapping from one gesture to multiple semantics. Finally, four commonly used gestures are designed to demonstrate the results of flexible mapping. Experiments show that compared with the traditional gesture-based human-computer interaction, the proposed flexible mapping scheme greatly reduces the number of gestures that users need to remember, improves the fault tolerance of gestures in the human-computer interaction process, and meets the concept of elderly caregiver robots.

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Path Planning of Escort Robot Based on Improved Quantum Particle Swarm Optimization

Cited by 7 publications

References 10 publications

An Elastic Collision Seeker Optimization Algorithm for Optimization Constrained Engineering Problems

An Elastic Collision Seeker Optimization Algorithm for Optimization Constrained Engineering Problems

An Improved Simulated Annealing Particle Swarm Optimization Algorithm for Path Planning of Mobile Robots Using Mutation Particles

Research on Intention Flexible Mapping Algorithm for Elderly Escort Robot

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