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In robot manipulation, planning the motion of a robot manipulator to grasp an object is a fundamental problem.
Constructing force-closure grasps
Van-Duc Nguyen · 1988
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Planning optimal grasps
Carlo Ferrari and John Canny · 1992
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Finding antipodal point grasps on irregularly shaped objects
I-Ming Chen and Joel Burdick · 1993
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Rapidly-exploring random trees: A new tool for path planning
Steven LaValle · 1998
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RRT-connect: An efficient approach to single-query path planning
James Kuffner and Steven LaValle · 2000
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Graspit! A versatile simulator for robotic grasping
Andrew Miller and Peter Allen · 2004
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Dexterous grasping via eigengrasps: A low-dimensional approach to a high-complexity problem
Matei Ciocarlie, Corey Goldfeder, and Peter Allen · 2007
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CHOMP: Gradient optimization techniques for efficient motion planning
Nathan Ratliff, Matt Zucker, Andrew Bagnell, and Siddhartha Srinivasa · 2009
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Combining active learning and reactive control for robot grasping
Oliver Kroemer, Renaud Detry, Justus Piater, and Jan Peters · 2010
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Integrated grasp and motion planning
Nikolaus Vahrenkamp, Martin Do, Tamim Asfour, and Rüdiger Dillmann · 2010
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Task space regions: A framework for pose-constrained manipulation planning
Dmitry Berenson, Siddhartha Srinivasa, and James Kuffner · 2011
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Data-driven grasping
Corey Goldfeder and Peter Allen · 2011
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STOMP: Stochastic trajectory optimization for motion planning
Mrinal Kalakrishnan, Sachin Chitta, Evangelos Theodorou, Peter Pastor, and Stefan Schaal · 2011
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Sampling-based algorithms for optimal motion planning
Sertac Karaman and Emilio Frazzoli · 2011
Cited alongside, same era.
Regret analysis of stochastic and nonstochastic multi-armed bandit problems
Sébastien Bubeck and Nicolo Cesa-Bianchi · 2012
Cited alongside, same era.
Data-driven grasp synthesis—a survey
Jeannette Bohg, Antonio Morales, Tamim Asfour, and Danica Kragic · 2013
Cited alongside, same era.
Integrated grasp and motion planning using independent contact regions
Joan Fontanals, Bao-Anh Dang-Vu, Oliver Porges, Jan Rosell, and Máximo Roa · 2014
Cited alongside, same era.
Efficiently combining task and motion planning using geometric constraints
Fabien Lagriffoul, Dimitar Dimitrov, Julien Bidot, Alessandro Saffiotti, and Lars Karlsson · 2014
Cited alongside, same era.
Motion planning with sequential convex optimization and convex collision checking
John Schulman, Yan Duan, Jonathan Ho, Alex Lee, Ibrahim Awwal, Henry Bradlow, Jia Pan, Sachin Patil, Ken Goldberg, and Pieter Abbeel · 2014
First-order methods in optimization , volume 25
Amir Beck · 2017
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Integrating motion and hierarchical fingertip grasp planning
Joshua Haustein, Kaiyu Hang, and Danica Kragic · 2017
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Grasp pose detection in point clouds
Andreas ten Pas, Marcus Gualtieri, Kate Saenko, and Robert Platt · 2017
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Grasp planning for customized grippers by iterative surface fitting
Yongxiang Fan, Hsien-Chung Lin, Te Tang, and Masayoshi Tomizuka · 2018
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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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Bandit algorithms
Tor Lattimore and Csaba Szepesvári · 2018
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Cited alongside, same era.
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.
Benchmarking in manipulation research: The YCB object and model set and benchmarking protocols
Berk Calli, Aaron Walsman, Arjun Singh, Siddhartha Srinivasa, Pieter Abbeel, and Aaron Dollar · 2015
Cited alongside, same era.
Adaptive learning for multi-agent navigation
Julio Godoy, Ioannis Karamouzas, Stephen Guy, and Maria Gini · 2015
Cited alongside, same era.
Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions
Lucas Janson, Edward Schmerling, Ashley Clark, and Marco Pavone · 2015
Cited alongside, same era.
Real-time grasp detection using convolutional neural networks
Joseph Redmon and Anelia Angelova · 2015
Cited alongside, same era.
Logic-geometric programming: An optimization-based approach to combined task and motion planning
Marc Toussaint · 2015
Cited alongside, same era.
Continuous-time gaussian process motion planning via probabilistic inference
Mustafa Mukadam, Jing Dong, Xinyan Yan, Frank Dellaert, and Byron Boots · 2018
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Differentiable physics and stable modes for tool-use and manipulation planning
Marc Toussaint, Kelsey Allen, Kevin Smith, and Joshua Tenenbaum · 2018
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Pybullet, a python module for physics simulation for games, robotics and machine learning
Erwin Coumans and Yunfei Bai · 2019
Closest in time.
A billion ways to grasp: An evaluation of grasp sampling schemes on a dense, physics-based grasp data set
Clemens Eppner, Arsalan Mousavian, and Dieter Fox · 2019
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6-DOF GraspNet: Variational grasp generation for object manipulation
Arsalan Mousavian, Clemens Eppner, and Dieter Fox · 2019
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An online learning approach to model predictive control
Nolan Wagener, Ching-An Cheng, Jacob Sacks, and Byron Boots · 2019
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Self-supervised 6D object pose estimation for robot manipulation
Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, and Dieter Fox · 2020
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