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For robots to successfully execute tasks assigned to them, they must be capable of planning the right sequence of actions.
A formal basis for the heuristic determination of minimum cost paths
Peter Hart, Nils Nilsson, and Bertram Raphael · 1968
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Strips: A new approach to the application of theorem proving to problem solving
Richard E Fikes and Nils J Nilsson · 1971
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Coordinated motion planning: the warehouseman’s problem with constraints on free space
R. Sharma and Y. Aloimonos · 1992
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Fast planning through planning graph analysis
Avrim L. Blum and Merrick L. Furst · 1995
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On the use of integer programming models in ai planning
Thomas Vossen, Michael O Ball, Amnon Lotem, and Dana Nau · 1999
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Ff: The fast-forward planning system
Jörg Hoffmann · 2001
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The metric-ff planning system: Translating“ignoring delete lists”to numeric state variables
Jörg Hoffmann · 2003
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Optiplan: Unifying ip-based and graph-based planning
Menkes HL Van Den Briel and Subbarao Kambhampati · 2005
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The fast downward planning system
Malte Helmert · 2006
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Planning algorithms
Steven M LaValle · 2006
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Generative planning for hybrid systems based on flow tubes
Hui X Li and Brian C Williams · 2008
Cited alongside, same era.
Optimal symbolic planning with action costs and preferences
Stefan Edelkamp and Peter Kissmann · 2009
Cited alongside, same era.
Mixed integer nonlinear programming
Jon Lee and Sven Leyffer · 2011
Cited alongside, same era.
Footstep planning on uneven terrain with mixed-integer convex optimization
Robin Deits and Russ Tedrake · 2014
Cited alongside, same era.
Optimal planning with global numerical state constraints
Franc Ivankovic, Patrik Haslum, Sylvie Thiébaux, Vikas Shivashankar, and Dana Nau · 2014
Cited alongside, same era.
Feedback control of the pusher-slider system: A story of hybrid and underactuated contact dynamics
François Robert Hogan and Alberto Rodriguez · 2016
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Mixed-integer convex optimization for planning aggressive motions of legged robots over rough terrain
Andrés Klee Valenzuela · 2016
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Sampling-based methods for factored task and motion planning
Caelan Reed Garrett, Tomás Lozano-Pérez, and Leslie Pack Kaelbling · 2018
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A global quasi-dynamic model for contact-trajectory optimization
Bernardo Aceituno-Cabezas and Alberto Rodriguez · 2020
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Pyperplan
Yusra Alkhazraji, Matthias Frorath, Markus Grützner, Malte Helmert, Thomas Liebetraut, Robert Mattmüller, Manuela Ortlieb, Jendrik Seipp, Tobias Springenberg, Philip Stahl, and Jan Wülfing · 2020
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Combined task and motion planning through an extensible planner-independent interface layer
Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, and Pieter Abbeel · 2014
Cited alongside, same era.
Logic-geometric programming: An optimization-based approach to combined task and motion planning
Marc Toussaint · 2015
Cited alongside, same era.
Digit robot
Agility Robotics
Cited in the paper.
Probabilistic inference in planning for partially observable long horizon problems
Alphonsus Adu-Bredu, Nikhil Devraj, Pin-Han Lin, Zhen Zeng, and Odest Chadwicke Jenkins · 2021
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Elephants don’t pack groceries: Robot task planning for low entropy belief states
Alphonsus Adu-Bredu, Zhen Zeng, Neha Pusalkar, and Odest Chadwicke Jenkins · 2022
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Gurobi Optimizer Reference Manual, 2022
Gurobi Optimization, LLC · 2022
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