Planning and control of UGV formations in a dynamic environment: A practical framework with experiments

Produzierende Unternehmen stehen in einem dynamischen Umfeld vor der Herausforderung eine zunehmende Datenmenge effizienter zu verarbeiten. In diesem Zusammenhang werden häufig Ansätze des maschinellen Lernens (ML) diskutiert. Der Beitrag stellt eine umfassende Aufarbeitung des Stands der Forschung bezogen auf den Einsatz von ML-Ansätzen in der Produktionsplanung und -steuerung (PPS) bereit. Daraus lässt sich der Forschungsbedarf in den einzelnen Aufgabengebieten der PPS ableiten.   In a dynamic environment, manufacturing companies face the challenge of processing an increasing amount of data more efficiently. In this context, approaches of machine learning (ML) are often discussed. This paper provides a comprehensive review of the state of the art regarding the use of ML approaches in production planning and control (PPC). Based on this, the need for research in the individual task areas of PPC can be derived.

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Motion Control of a Flock of 1-Trailer Robots with Swarm Avoidance

Robotica ◽

10.1017/s0263574721000060 ◽

2021 ◽

pp. 1-26

Author(s):

Jai Raj ◽

Krishna Raghuwaiya ◽

Bibhya Sharma ◽

Jito Vanualailai

Keyword(s):

Motion Planning ◽

Control Problem ◽

Motion Control ◽

Dynamic Environment ◽

Continuous Control ◽

Control Laws ◽

Planning And Control ◽

Control Scheme ◽

And Control ◽

Emergent Behaviors

SUMMARY This paper addresses the motion planning and control problem of a system of 1-trailer robots navigating a dynamic environment cluttered with obstacles including a swarm of boids. A set of nonlinear continuous control laws is proposed via the Lyapunov-based Control Scheme for collision, obstacle, and swarm avoidances. Additionally, a leader–follower strategy is utilized to allow the flock to split and rejoin when approaching obstacles. The effectiveness of the control laws is demonstrated through numerical simulations, which show the split and rejoin maneuvers by the flock when avoiding obstacles while the swarm exhibits emergent behaviors.

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Planning and control of UGV formations in a dynamic environment: a practical framework with experiments

2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422) ◽

10.1109/robot.2003.1241757 ◽

2004 ◽

Author(s):

Yongxing Hao ◽

B. Laxton ◽

S.K. Agrawal ◽

E. Lee ◽

E. Benson

Keyword(s):

Dynamic Environment ◽

Planning And Control ◽

And Control

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Business Processes for Enhancing Coordination in Supply Networks

International Journal of Information Systems and Supply Chain Management ◽

10.4018/ijisscm.2015040102 ◽

2015 ◽

Vol 8 (2) ◽

pp. 14-30 ◽

Cited By ~ 7

Author(s):

Henry Xu

Keyword(s):

Customer Service ◽

Business Processes ◽

Dynamic Environment ◽

Global Market ◽

Supply Network ◽

Supply Networks ◽

Planning And Control ◽

Fast Flow ◽

And Control ◽

Flow Of Information

In today's supply networks, characterised by increased complexity and uncertainty, fast flow of information and decisions across the supply network is fundamental for improving efficiency and customer service in the global market. In such a complex, dynamic environment, the overall performance of the supply network can only be improved through better coordination of inter-related, boundary-spanning business processes in the network. This paper proposes a conceptual framework for enhanced coordination of production planning and control activities across the supply network. The framework consists of seven business processes, among which four key business processes focusing on the short to medium term are chosen for design and modelling and subsequent implementation.

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Sensor planning and control in a dynamic environment

Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292) ◽

10.1109/robot.2002.1013436 ◽

2003 ◽

Cited By ~ 11

Author(s):

J.R. Spletzer ◽

C.J. Taylor

Keyword(s):

Dynamic Environment ◽

Sensor Planning ◽

Planning And Control ◽

And Control

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1/f Noise and movement constraints in the planning and control of aiming

PsycEXTRA Dataset ◽

10.1037/e429042008-001 ◽

2008 ◽

Keyword(s):

Planning And Control ◽

And Control

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PLANNING TO MEET THE GROWING DEMANDS ON NORTHLANDS WATER RESOURCES

Proceedings of the New Zealand Grassland Association ◽

10.33584/jnzg.1986.47.1761 ◽

1986 ◽

pp. 33-42

Author(s):

D.L. Roke

Keyword(s):

Industrial Development ◽

Water Resource Management ◽

Limited Resources ◽

Careful Planning ◽

Management Planning ◽

Planning And Control ◽

Sources Of Pollution ◽

And Control ◽

Resource Management Planning ◽

Pastoral Farming

The growth in horticultural and some industrial development in selected areas of Northland has led to a need for more specific and careful planning and control of limited resources in a number of major catchments. The potential irrigation demands for horhculture comprise over 60% of Northland's potential water requirements. By contrast, farm water supply needs are only 11% of these needs. Because of their importance to the Northland economy, and in the legislation these needs are given a high priority in water resource management planning. Land uses, including pastoral farming, require careful operation to reduce diffuse sources of pollution.

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