Optimizing walking controllers for uncertain inputs and environments
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[1] David J. Fleet,et al. Optimizing walking controllers , 2009, ACM Trans. Graph..
[2] Philippe Beaudoin,et al. Robust task-based control policies for physics-based characters , 2009, ACM Trans. Graph..
[3] Zoran Popovic,et al. Compact character controllers , 2009, ACM Trans. Graph..
[4] Zoran Popovic,et al. Contact-aware nonlinear control of dynamic characters , 2009, ACM Trans. Graph..
[5] Katie Byl,et al. Metastable Walking Machines , 2009, Int. J. Robotics Res..
[6] Hans-Peter Seidel,et al. A Statistical Model of Human Pose and Body Shape , 2009, Comput. Graph. Forum.
[7] Marco da Silva,et al. Interactive simulation of stylized human locomotion , 2008, ACM Trans. Graph..
[8] Matthias Zwicker,et al. Real-time planning for parameterized human motion , 2008, SCA '08.
[9] Konrad Paul Kording,et al. Decision Theory: What "Should" the Nervous System Do? , 2007, Science.
[10] Z. Popovic,et al. Near-optimal character animation with continuous control , 2007, ACM Trans. Graph..
[11] Kwang Won Sok,et al. Simulating biped behaviors from human motion data , 2007, ACM Trans. Graph..
[12] KangKang Yin,et al. SIMBICON: simple biped locomotion control , 2007, ACM Trans. Graph..
[13] Nancy S. Pollard,et al. To appear in the ACM SIGGRAPH conference proceedings Responsive Characters from Motion Fragments , 2022 .
[14] James C. Spall,et al. Introduction to Stochastic Search and Optimization. Estimation, Simulation, and Control (Spall, J.C. , 2007 .
[15] Pieter Abbeel,et al. An Application of Reinforcement Learning to Aerobatic Helicopter Flight , 2006, NIPS.
[16] Michiel van de Panne,et al. Synthesis of Controllers for Stylized Planar Bipedal Walking , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[17] H. Sebastian Seung,et al. Stochastic policy gradient reinforcement learning on a simple 3D biped , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).
[18] E. Todorov. Optimality principles in sensorimotor control , 2004, Nature Neuroscience.
[19] Jehee Lee,et al. Precomputing avatar behavior from human motion data , 2004, SCA '04.
[20] Tim Hesterberg,et al. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control , 2004, Technometrics.
[21] Kelvin E. Jones,et al. The scaling of motor noise with muscle strength and motor unit number in humans , 2004, Experimental Brain Research.
[22] James C. Spall,et al. Introduction to stochastic search and optimization - estimation, simulation, and control , 2003, Wiley-Interscience series in discrete mathematics and optimization.
[23] Petros Faloutsos,et al. Composable controllers for physics-based character animation , 2001, SIGGRAPH.
[24] Michael I. Jordan,et al. PEGASUS: A policy search method for large MDPs and POMDPs , 2000, UAI.
[25] D. Wolpert,et al. Signal-dependent noise determines motor planning , 1998, Nature.
[26] Geoffrey E. Hinton,et al. NeuroAnimator: fast neural network emulation and control of physics-based models , 1998, SIGGRAPH.
[27] Demetri Terzopoulos,et al. Automated learning of muscle-actuated locomotion through control abstraction , 1995, SIGGRAPH.
[28] Karl Sims,et al. Evolving virtual creatures , 1994, SIGGRAPH.
[29] Michiel van de Panne,et al. Sensor-actuator networks , 1993, SIGGRAPH.
[30] L. Pinneo. On noise in the nervous system. , 1966, Psychological review.
[31] Nikolaus Hansen,et al. The CMA Evolution Strategy: A Comparing Review , 2006, Towards a New Evolutionary Computation.
[32] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[33] John Hart,et al. ACM Transactions on Graphics , 2004, SIGGRAPH 2004.
[34] C. N Bouza,et al. Spall, J.C. Introduction to stochastic search and optimization. Estimation, simulation and control. Wiley Interscience Series in Discrete Mathematics and Optimization, 2003 , 2004 .
[35] Michiel van de Panne,et al. Guided Optimization for Balanced Locomotion , 1995 .