An Improved Ant Colony System Algorithm for Robot Path Planning and Performance Analysis

You, Xiaoming; Liu, Sheng; Zhang, Chen

doi:10.2316/journal.206.2018.5.206-0071

Cited by 13 publications

(9 citation statements)

References 7 publications

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“…cancelation). The MAKLINK technique is usually used to transform the real physical dispatching network into a free obstacles network [71,72]. Yet, finding the shortest path remains a laborious task, which needs more than a single method.…”

Section: A System Design and Principalsmentioning

confidence: 99%

“…The advantage of Dijkstra's process solves the shortest path problem [81], however, it cannot overcome the logistics path challenges, especially with obstacles. Whereas the advantage of a hybrid optimization is its ability to solve the logistics path issues even in discrete space [82,59,71,53]. Thus, this paper uses these advantages to overcome the difficulty of using ACO or PSO alone with a huge amount of computation.…”

Section: Optimization Modelmentioning

confidence: 99%

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An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

et al. 2022

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Optimization of order dispatch operations and delivery time prediction is a major concern in supply chains, mainly for e-commerce, which requires the implementation of advanced solutions to reduce delivery time, minimize costs and maximize customer satisfaction. In practice, they fail to warrant scalable and sustainable solutions as the numbers of orders become larger. For that, proper prediction and optimization for delivery operations are required for optimal logistics management. This paper presents an advanced logistics service, which warrants dynamic coordination among all the actors in the smart logistics environment. The proposed advanced shipping system consists of two main parts: the delivery prediction model to compute the expected arrival time, and a hybrid optimization model to tackle path issues. We demonstrate that the advanced system consistently outperforms conventional standard dispatching methods, which means that the proposed approach effectively contributes to optimizing the distribution chain and reducing costs.

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Section: A System Design and Principalsmentioning

confidence: 99%

Section: Optimization Modelmentioning

confidence: 99%

An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

et al. 2022

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“…The state equation is written as 5, where f () is introduced in (3). The measurement equation is written as (6). The process noise (m) and the measurement noise (r) are assumed to be Gaussian distribution:…”

Section: Interaction-aware Trajectory Predictionmentioning

confidence: 99%

An Interaction-Aware Predictive Motion Planner for Unmanned Ground Vehicles in Dynamic Street Scenarios

Li¹,

Dai²,

Li³

et al. 2019

International Journal of Robotics and Automation

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An interaction-aware predictive motion planning method for unmanned ground vehicles is presented in dynamic street scenarios. Although trajectory prediction in motion planners is widely covered in the past few years, most of them only consider the physical model of the vehicles and ignore the interaction among vehicles. Our motion planner predicts the future trajectories of surrounding participant vehicles taking the traffic interaction and manoeuvres into consideration. Furthermore, the motion planner exploits an improved trajectory generation method. The kinematically feasible trajectories are generated, which prevents a long-term collision using the predicted results in a probabilistic manner. The results show that our motion planner improves the safety and smoothness of driving trajectories in interactive scenarios.

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“…Soft actuators are widely fabricated by using compliant materials (e.g., polymers [1], elastomers [2], and hydrogels [3][4][5]) which result in a vast potential of soft actuators to handle fragile objects, resist mechanical insults (e.g., blunt impacts and compressive forces), and realise complex motions [6][7][8]. Pneumatically powered actuators aim to use new design strategies so that they can rapidly provide complex motions with simple inputs, thereby inspiring a new wave of research activities [9][10][11]. Recently, the field of soft pneumatic actuators (SPAs) has achieved a remarkable progress with the development of biomimetic materials science [12][13][14] and advanced manufacturing processes [15].…”

Section: Introductionmentioning

confidence: 99%

“…Simultaneously, the methods used for efficiently designing actuators for particular functions are essential to studying SPAs [29]. On this basis, many research groups have focused on the theoretical framework for modelling SPAs, although developing realistic and tractable models is challenging [9,11].…”

Section: Introductionmentioning

confidence: 99%

An Optimum Design Method of Pneu-Net Actuators for Trajectory Matching Utilizing a Bending Model and GA

Sun

Zhang

Chen

et al. 2019

Mathematical Problems in Engineering

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This study addresses the problem in designing pneu-net actuators to achieve specific target trajectories for particular applications. The finite element analysis (FEA) method is used to study the sensitivity of 9 design parameters to bending deformation of actuators, and the results of FEA demonstrate that the width of the chamber and the width of the middle layer have great influence on the bending performance. Besides, the relations between the bending angles of actuators with different width parameters and the pressure are always highly linear. Using FEA and the cubic polynomial fitting algorithm, a unified bending model of the pneu-net actuator is established with three crucial design parameters (i.e., segment length, chamber width, and middle-layer width). An optimum design method based on the bending model and genetic algorithm (GA) is put forward to automatically adjust these three crucial parameters to realise trajectory matching. The method is developed to be an effective solution for the problem in matching the target trajectory with the experimental results achieved on an actuator designed by imitating a human index finger. Furthermore, the results of the experiment also verify that the actuator can achieve stable grasping, and the proposed method has an important directive to design pneu-net actuators for their application in the fields of robotics, rescue, and detection.

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An Improved Ant Colony System Algorithm for Robot Path Planning and Performance Analysis

Cited by 13 publications

References 7 publications

An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

An Interaction-Aware Predictive Motion Planner for Unmanned Ground Vehicles in Dynamic Street Scenarios

An Optimum Design Method of Pneu-Net Actuators for Trajectory Matching Utilizing a Bending Model and GA

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