A Novel Line of Sight Constraint for Mixed-Integer Programming Models with Applications to Multi-Agent Motion Planning-Reference-Cited by-同舟云学术

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A Novel Line of Sight Constraint for Mixed-Integer Programming Models with Applications to Multi-Agent Motion Planning

Published:2023-06-13 Issue: Volume: Page:
ISSN:
Container-title:2023 European Control Conference (ECC)
language:
Short-container-title:

Author:

Caregnato-Neto Angelo¹,Maximo Marcos R. O. A.²,Afonso Rubens J. M.¹

Affiliation:

1. Instituto Tecnológico de Aeronáutica (ITA),Electronik Engineering Division,São José dos Campos,Brazil

2. Instituto Tecnológico de Aeronáutica (ITA),Autonomous Computational Systems Lab (LAB-SCA), Computer Science Division,São José dos Campos,Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10178092/10178115/10178275.pdf?arnumber=10178275

Reference18 articles.

1. Convex Polytopes

2. MILP optimal path planning for real-time applications

3. Realtime motion planning and decision-making for a group of differential drive robots under connectivity constraints using robust MPC and mixed-integer programming;caregnato-neto;Advanced Robotics,2022

4. Resilient Robust Connectivity for Multiagent Systems with Line of Sight Using Mixed-Integer Programming

5. Optimal trajectory generation of a drone for wheelchair tracking using mixed-integer programming

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