Operations research
Related papers: 20
About
Operations research (OR) is a discipline that applies mathematical modeling, optimization, and analytical methods to support complex decision-making. Rooted in applied mathematics and systems engineering, OR encompasses techniques such as linear programming, scheduling algorithms, combinatorial optimization, and multi-objective decision analysis. In robotics and AI, OR methods are extensively used to solve problems including multi-robot task allocation, warehouse logistics, last-mile delivery routing, assembly line balancing, and multi-agent pathfinding. Algorithms derived from OR principles help robots plan efficient routes, coordinate actions across fleets, and allocate shared resources under real-world constraints like time windows, dynamic environments, and kinodynamic limitations. Auction-based coordination, constraint-directed scheduling, and sampling-based motion planning all draw heavily from OR foundations. OR matters because modern robotic systems—from autonomous warehouse robots to disaster response platforms—must make rapid, near-optimal decisions in complex, resource-constrained environments. Without OR tools, scaling these systems to practical deployment would be computationally intractable, making OR a critical enabler of intelligent, efficient, and reliable autonomous systems.
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Marko Balabanović, Yoav Shoham
Citations: 2926 • 1997
Legged Robots That Balance
Marc H. Raibert, Ernest R. Tello
Citations: 2724 • 1986
Optimal and Efficient Path Planning for Partially Known Environments
Anthony Stentz
Citations: 1245 • 1997
Robotics: Science and Systems (RSS)
Jeff Trinkle, Yoky Matsuoka
Citations: 1084 • 2010
Neural Networks for Control
Citations: 873 • 1991
Sampling-Based Robot Motion Planning: A Review
Mohamed Elbanhawi, Milan Simić
Citations: 779 • 2014
A comprehensive survey: Whale Optimization Algorithm and its applications
Farhad Soleimanian Gharehchopogh, Hojjat Gholizadeh
Citations: 737 • 2019
Frontier-based exploration using multiple robots
Brian Yamauchi
Citations: 709 • 1998
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Maria Gini, Onn Shehory, Takayuki Itō, Catholijn M. Jonker
Citations: 708 • 2013
A taxonomy of line balancing problems and their solutionapproaches
Olga Battaïa, Alexandre Dolgui
Citations: 655 • 2012
Warehousing in the e-commerce era: A survey
Nils Boysen, René de Koster, Felix Weidinger
Citations: 628 • 2018
Robot Motion: Planning and Control
Michale Brady, John M. Hollerbach, Timothy Johnson, Matthew T. Mason, Tomás Lozano‐Pérez
Citations: 614 • 1983
Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda
Giuseppe Fragapane, René de Koster, Fabio Sgarbossa, Jan Ola Strandhagen
Citations: 604 • 2021
A comprehensive taxonomy for multi-robot task allocation
G. Ayorkor Korsah, Anthony Stentz, M. Bernardine Dias
Citations: 600 • 2013
Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities
Amos Darko, Albert P.C. Chan, Michael Atafo Adabre, David J. Edwards, M. Reza Hosseini, Ernest Effah Ameyaw
Citations: 567 • 2020
Last-mile delivery concepts: a survey from an operational research perspective
Nils Boysen, Stefan Fedtke, Stefan Schwerdfeger
Citations: 564 • 2020
Robotized and Automated Warehouse Systems: Review and Recent Developments
Kaveh Azadeh, René de Koster, Debjit Roy
Citations: 541 • 2019
Constraint-directed search : a case study of job-shop scheduling
Mark S. Fox
Citations: 532 • 2018
Kinodynamic motion planning
Bruce R. Donald, Patrick Xavier, John Canny, John H. Reif
Citations: 456 • 1993
Applications of WASPAS Method in Manufacturing Decision Making
Shankar Chakraborty, Edmundas Kazimieras Zavadskas
Citations: 447 • 2014