Longitudinal Planning and Control Method for Autonomous Vehicles Based on A New Potential Field Model

This paper details an intelligent motion planning and control approach for a one-degree of freedom joint of a robotic arm that can be used to implement anthropomorphic robotic hands. This intelligent control method is based on bio-inspired electronic neural networks and contractile artificial muscles implemented with shape memory alloy (SMA) actuators. The spiking neural network (SNN) includes several excitatory neurons that naturally determine the contraction force of the actuators, and unevenly distributed inhibitory neurons that regulate the excitatory activity. To validate the proposed concept, the experiments highlight the motion planning and control of a single-joint robotic arm. The results show that the electronic neural network is able to intelligently activate motion and hold with high precision the mobile link to the target positions even if the arm is slightly loaded. These results are encouraging for the development of improved biologically plausible neural structures that are able to control simultaneously multiple muscles.

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Development of a Pull Production Control Method for ETO Companies and Simulation for the Metallurgical Industry

Applied Sciences ◽

10.3390/app10010274 ◽

2019 ◽

Vol 10 (1) ◽

pp. 274 ◽

Cited By ~ 2

Author(s):

Javier Gejo García ◽

Sergio Gallego-García ◽

Manuel García-García

Keyword(s):

Production Control ◽

Control Method ◽

Metallurgical Industry ◽

Lead Times ◽

Customer Requirements ◽

Planning And Control ◽

Engineer To Order ◽

The Moment ◽

And Control

At the moment, many engineer-to-order manufacturers are under pressure, the overcapacity in many sectors erodes prices and many companies, especially in Europe have gone into recent years in bankruptcy. Due to the increasing competition as well as the new customer requirements, the internal processes of an ETO company play an essential role in order to achieve a unique selling proposition (USP). Therefore this paper exposes how the production planning and control of an engineer-to-order manufacturer can be designed in order to increase its OTD (order-to-delivery) rate as well as decrease the WIP (work-in-progress) and the production lead times. To prove the optimized planning logic, it was applied in a simulation case study and based on the results; the conclusions about its potential are derived.

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A Markovian model for the hybrid manufacturing planning and control method ‘Double Speed Single Production Line’

Computers & Industrial Engineering ◽

10.1016/j.cie.2009.04.013 ◽

2009 ◽

Vol 57 (3) ◽

pp. 1022-1032 ◽

Cited By ~ 8

Author(s):

Naoufel Cheikhrouhou ◽

Christoph Hachen ◽

Rémy Glardon

Keyword(s):

Production Line ◽

Control Method ◽

Hybrid Manufacturing ◽

Markovian Model ◽

Manufacturing Planning ◽

Planning And Control ◽

Single Production ◽

Manufacturing Planning And Control ◽

And Control

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Redundant manipulator techniques for path planning and control of a platoon of autonomous vehicles

Proceedings of the 41st IEEE Conference on Decision and Control, 2002. ◽

10.1109/cdc.2002.1184838 ◽

2003 ◽

Cited By ~ 8

Author(s):

D.J. Stilwell ◽

B.E. Bishop

Keyword(s):

Path Planning ◽

Autonomous Vehicles ◽

Redundant Manipulator ◽

Planning And Control ◽

And Control

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Determination of Normalized Difference Vegetation Index (NDVI) by Applying Disco-Pro AG Drones in Vineyards

AgriScience and Technology ◽

10.52276/25792822-2021.2-123 ◽

2021 ◽

pp. 123-126

Keyword(s):

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Field Model ◽

Agricultural Activities ◽

Land Utilization ◽

Planning And Control ◽

Efficient Planning ◽

And Control ◽

The Given

Reliable and up-to-date data on every soil segment of the land areas cultivated for the contemporary land utilization is of vital significance. Currently, the efficient planning and control over the agricultural activities is hardly possible without any reliable and updated information on the yield and agricultural soil types, whereas implementation of drones in the field of land management and in agriculture, on the whole, is one of the most perspective directions, since unlike the artificial sattelites, they provide more precise and guided images for the given location. The aim of the research is to produce the digital field model and NDVI map for the crops by applying Parrot Disco-Pro AG drone kit.

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