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[1] Twan Koolen,et al. Benchmarking and Workload Analysis of Robot Dynamics Algorithms , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[2] Karthikeyan Sankaralingam,et al. Dark Silicon and the End of Multicore Scaling , 2012, IEEE Micro.
[3] Zachary Manchester,et al. Linear-Time Variational Integrators in Maximal Coordinates , 2020, WAFR.
[4] Roy Featherstone,et al. A Divide-and-Conquer Articulated-Body Algorithm for Parallel O(log(n)) Calculation of Rigid-Body Dynamics. Part 1: Basic Algorithm , 1999, Int. J. Robotics Res..
[5] Mario Zanon,et al. Reinforcement Learning for Mixed-Integer Problems Based on MPC , 2020, ArXiv.
[6] Ye Zhao,et al. Robust Trajectory Optimization Over Uncertain Terrain With Stochastic Complementarity , 2020, IEEE Robotics and Automation Letters.
[7] Scott Kuindersma,et al. A Performance Analysis of Parallel Differential Dynamic Programming on a GPU , 2018, WAFR.
[8] Frédo Durand,et al. DiffTaichi: Differentiable Programming for Physical Simulation , 2020, ICLR.
[9] Aaron M. Dollar,et al. Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning , 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).
[10] Marco Hutter,et al. MPC-Net: A First Principles Guided Policy Search , 2020, IEEE Robotics and Automation Letters.
[11] Mikel L. Forcada,et al. ATLAS , 2011, EAMT.
[12] Scott Kuindersma,et al. Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA , 2021, IEEE Robotics and Automation Letters.
[13] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[14] Srinivas Devadas,et al. Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology , 2021, ASPLOS.
[15] Paulius Micikevicius,et al. 3D finite difference computation on GPUs using CUDA , 2009, GPGPU-2.
[16] Jonas Degrave,et al. A DIFFERENTIABLE PHYSICS ENGINE FOR DEEP LEARNING IN ROBOTICS , 2016, Front. Neurorobot..
[17] Olivier Stasse,et al. Whole-body model-predictive control applied to the HRP-2 humanoid , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[18] Jonas Buchli,et al. Fast derivatives of rigid body dynamics for control, optimization and estimation , 2016, 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR).
[19] Wojciech Zaremba,et al. OpenAI Gym , 2016, ArXiv.
[20] Yashraj S. Narang,et al. DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting , 2021, Robotics: Science and Systems.
[21] C. Karen Liu,et al. Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact , 2021, ArXiv.
[22] Olivier Stasse,et al. The Pinocchio C++ library : A fast and flexible implementation of rigid body dynamics algorithms and their analytical derivatives , 2019, 2019 IEEE/SICE International Symposium on System Integration (SII).
[23] Joshua B. Tenenbaum,et al. End-to-End Differentiable Physics for Learning and Control , 2018, NeurIPS.
[24] Jonas Buchli,et al. The control toolbox — An open-source C++ library for robotics, optimal and model predictive control , 2018, 2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR).
[25] Patrick M. Wensing,et al. Accelerating Second-Order Differential Dynamic Programming for Rigid-Body Systems , 2021, IEEE Robotics and Automation Letters.
[26] Jia Pan,et al. Parallel Dynamics Computation Using Prefix Sum Operations , 2016, IEEE Robotics and Automation Letters.
[27] Marco Hutter,et al. Deep Value Model Predictive Control , 2019, CoRL.
[28] Katsu Yamane,et al. Comparative Study on Serial and Parallel Forward Dynamics Algorithms for Kinematic Chains* , 2009, Int. J. Robotics Res..
[29] Darwin G. Caldwell,et al. RobCoGen: a code generator for efficient kinematics and dynamics of articulated robots, based on Domain Specific Languages , 2016 .
[30] Zachary Manchester,et al. ALTRO: A Fast Solver for Constrained Trajectory Optimization , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[31] Hod Lipson,et al. Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA , 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[32] Dimitri Komatitsch,et al. Accelerating a three-dimensional finite-difference wave propagation code using GPU graphics cards , 2010 .
[33] Moritz Diehl,et al. A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control , 2017, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[34] Yuval Tassa,et al. Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[35] Evangelos A. Theodorou,et al. Model Predictive Path Integral Control: From Theory to Parallel Computation , 2017 .
[36] Jan Bender,et al. A Survey on Position Based Dynamics , 2017, Eurographics.
[37] Twan Koolen,et al. Julia for robotics: simulation and real-time control in a high-level programming language , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[38] Miles Macklin,et al. Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning , 2021, NeurIPS Datasets and Benchmarks.
[39] Model Predictive-Actor Critic Reinforcement Learning for Dexterous Manipulation , 2021, 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE).
[40] Patrick M. Wensing,et al. Efficient Analytical Derivatives of Rigid-Body Dynamics Using Spatial Vector Algebra , 2021, IEEE Robotics and Automation Letters.
[41] Patrick M. Wensing,et al. Numerical Methods to Compute the Coriolis Matrix and Christoffel Symbols for Rigid-Body Systems , 2020, Journal of Computational and Nonlinear Dynamics.
[42] Steven Swanson,et al. Conservation cores: reducing the energy of mature computations , 2010, ASPLOS XV.
[43] Olivier Bachem,et al. Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation , 2021, NeurIPS Datasets and Benchmarks.
[44] Roland Siegwart,et al. Fast nonlinear Model Predictive Control for unified trajectory optimization and tracking , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[45] Roy Featherstone,et al. Rigid Body Dynamics Algorithms , 2007 .
[46] Nicolas Mansard,et al. Analytical Derivatives of Rigid Body Dynamics Algorithms , 2018, Robotics: Science and Systems.
[47] Jiancheng Liu,et al. ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[48] Edo Jelavic,et al. Real-time motion planning of legged robots: A model predictive control approach , 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids).
[49] Roy Featherstone,et al. Exploiting Sparsity in Operational-space Dynamics , 2010, Int. J. Robotics Res..
[50] Ferdinando Cannella,et al. Design of HyQ – a hydraulically and electrically actuated quadruped robot , 2011 .
[51] Marco Hutter,et al. A Unified MPC Framework for Whole-Body Dynamic Locomotion and Manipulation , 2021, IEEE Robotics and Automation Letters.
[52] Ludovic Righetti,et al. High-Frequency Nonlinear Model Predictive Control of a Manipulator , 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).