Fetching the paper…
Reading the bibliography…
We present a method for fast and accurate physics-based predictions during non-prehensile manipulation planning and control.
Mechanics and planning of manipulator pushing operations
M. Mason · 1986
Earlier work this paper cites.
Planar sliding with dry friction part 1. limit surface and moment function
S. Goyal, A. Ruina, and J. Papadopoulos · 1991
Earlier work this paper cites.
Manipulation and active sensing by pushing using tactile feedback
K. M. Lynch, H. Maekawa, and K. Tanie · 1992
Earlier work this paper cites.
Parallel multiple shooting for the solution of initial value problems
Kiehl Martin · 1994
Earlier work this paper cites.
Résolution d’edp par un schéma en temps «pararéel »
Jacques-Louis Lions, Yvon Maday, and Gabriel Turinici · 2001
Earlier work this paper cites.
Parallel in time algorithms for quantum control: Parareal time discretization scheme
Yvon Maday and Gabriel Turinici · 2003
Earlier work this paper cites.
Iterative linear quadratic regulator design for nonlinear biological movement systems
W. Li and E. Todorov · 2004
Earlier work this paper cites.
Parallel-in-time simulation of two-dimensional, unsteady, incompressible laminar flows
J. M. F. Trindade and J. C. F. Pereira · 2006
Earlier work this paper cites.
A hybrid parareal spectral deferred corrections method
Michael Minion · 2010
Earlier work this paper cites.
Stomp: Stochastic trajectory optimization for motion planning
M. Kalakrishnan, S. Chitta, E. Theodorou, P. Pastor, and S. Schaal · 2011
Earlier work this paper cites.
Fast adaptation for effect-aware pushing
F. Ruiz-Ugalde, G. Cheng, and M. Beetz · 2011
Earlier work this paper cites.
Synthesis and stabilization of complex behaviors through online trajectory optimization
Y. Tassa, T. Erez, and E. Todorov · 2012
Earlier work this paper cites.
Mujoco: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
Earlier work this paper cites.
Simulation tools for model-based robotics: Comparison of bullet, havok, mujoco, ode and physx
T. Erez, Y. Tassa, and E. Todorov · 2015
Cited alongside, same era.
Kinodynamic randomized rearrangement planning via dynamic transitions between statically stable states
J. A. Haustein, J. King, S. S. Srinivasa, and T. Asfour · 2015
Cited alongside, same era.
Push-manipulation of complex passive mobile objects using experimentally acquired motion models
V. M. Meriçli, T. and H.L. Akın · 2015
Cited alongside, same era.
Implementing parareal - openmp or mpi?
Daniel Ruprecht · 2015
Cited alongside, same era.
Model predictive path integral control using covariance variable importance sampling
G. Williams, A. Aldrich, and E. Theodorou · 2015
Cited alongside, same era.
Learning to poke by poking: Experiential learning of intuitive physics
Combining learned and analytical models for predicting action effects
Alina Kloss, Stefan Schaal, and Jeannette Bohg · 2017
Later among the works it cites.
Learning modular and transferable forward models of the motions of push manipulated objects
M. Kopicki, S. Zurek, R. Stolkin, T. Moerwald, and J. L. Wyatt · 2017
Later among the works it cites.
Augmenting physical simulators with stochastic neural networks: Case study of planar pushing and bouncing
A. Ajay, J. Wu, N. Fazeli, M. Bauza, L. P. Kaelbling, J. B. Tenenbaum, and A. Rodriguez · 2018
Later among the works it cites.
Robustness via retrying: Closed-loop robotic manipulation with self-supervised learning
F. Ebert, S. Dasari, A. X. Lee, S. Levine, and C. Finn · 2018
Later among the works it cites.
Efficient computation of higher-order variational integrators in robotic simulation and trajectory optimization
T. Fan, J. Schultz, and T. Murphey · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
P. Agrawal, A. V. Nair, P. Abbeel, J. Malik, and S. Levine · 2016
Cited alongside, same era.
Unsupervised learning for physical interaction through video prediction
C. Finn, I. Goodfellow, and S. Levine · 2016
Cited alongside, same era.
Feedback control of the pusher-slider system: A story of hybrid and underactuated contact dynamics
F. R. Hogan and A. Rodriguez · 2016
Cited alongside, same era.
Convergent planning
A. M. Johnson, J. King, and S. Srinivasa · 2016
Cited alongside, same era.
More than a million ways to be pushed. a high-fidelity experimental dataset of planar pushing
K. T. Yu, M. Bauza, N. Fazeli, and A. Rodriguez · 2016
Cited alongside, same era.
Uncertainty averse pushing with model predictive path integral control
E. Arruda, M. J. Mathew, M. Kopicki, M. Mistry, M. Azad, and J. L. Wyatt · 2017
Cited alongside, same era.
A probabilistic data-driven model for planar pushing
M. Bauza and A. Rodriguez · 2017
Cited alongside, same era.
A family of iterative gauss-newton shooting methods for nonlinear optimal control
M. Giftthaler, M. Neunert, M. Stäuble, J. Buchli, and M. Diehl · 2018
Later among the works it cites.
Sim-to-real reinforcement learning for deformable object manipulation
Jan Matas, Stephen James, and Andrw J. Davison · 2018
Later among the works it cites.
Whole-body nonlinear model predictive control through contacts for quadrupeds
M. Neunert, M. Stäuble, M. Giftthaler, C. D. Bellicoso, J. Carius, C. Gehring, M. Hutter, and J. Buchli · 2018
Later among the works it cites.
Time integrating articulated body dynamics using position-based collocation method
Z. Pan and D. Manocha · 2018
Later among the works it cites.
A performance analysis of parallel differential dynamic programming on a gpu
Brian Plancher and Scott Kuindersma · 2018
Later among the works it cites.
Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
A. Rajeswaran, V. Kumar, A. Gupta, G. Vezzani, J. Schulman, E. Todorov, and S. Levine · 2018
Later among the works it cites.
A convex polynomial model for planar sliding mechanics: theory, application, and experimental validation
J. Zhou, M. T. Mason, R. Paolini, and D. Bagnell · 2018
Later among the works it cites.