Function Approximation |   |   | Partial Observability |   |   | Learning Methods |   |   | Ensembles |   |   |
Stochastic Optimisation |   |   | General RL |   |   | General ML |   |   | Multiagent Learning |   |   |
Comparison/Integration |   |   | Bandits |   |   | Applications |   |   | Robot Soccer |   |   |
Humanoids |   |   | Parameter |   |   | MDP |   |   | Empirical |   |   |
Failure Warning |   |   | Representation |   |   | General AI |   |   | Neural Networks |   |   |
All |   |   |
Learning to Predict Humanoid Fall
Shivaram Kalyanakrishnan and Ambarish Goswami, 2011
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Predicting Falls of a Humanoid Robot through Machine Learning
Shivaram Kalyanakrishnan and Ambarish Goswami, 2010
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Three Humanoid Soccer Platforms: Comparison and Synthesis
Shivaram Kalyanakrishnan, Todd Hester, Michael Quinlan, Yinon Bentor, and Peter Stone, 2010
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Fall Detection of Two-legged Walking Robots using Multi-way Principal Components Analysis
J. G. Daniël Karssen and Martijn Wisse, 2010
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Biped Walk Learning Through Playback and Corrective Demonstration
\cCetin Meri\ccli and Manuela Veloso, 2010
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Generalized Direction Changing Fall Control of Humanoid Robots Among Multiple Objects
Umashankar Nagarajan and Ambarish Goswami, 2010
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Biped Walking using Coronal and Sagittal Movements based on Truncated Fourier Series
Nima Shafii, Luis Paulo Reis, and Nuno Lao, 2010
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Fall Detection and Management in Biped Humanoid Robots
Javier Ruiz-del-Solar, Javier Moya, and Isao Parra-Tsunekawa, 2010
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The WEKA Data Mining Software: An Update
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten, 2009
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Probabilistic Balance Monitoring for Bipedal Robots
O. Höhn and W. Gerth, 2009
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The UT Austin Villa 3D Simulation Soccer Team 2008
Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone, 2009
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Fall detection in walking robots by multi-way principal component analysis
J. G. Daniël Karssen and Martijn Wisse, 2009
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Automatic Parameter Optimization for a Dynamic Robot Simulation
Tim Laue and Matthias Hebbel, 2009
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Nonparametric representation of an approximated Poincaré map for learning biped locomotion
Jun Morimoto and Christopher G. Atkeson, 2009
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Reinforcement learning for robot soccer
Martin Riedmiller, Thomas Gabel, Roland Hafner, and Sascha Lange, 2009
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Evolving Multi-modal Behavior in NPCs
Jacob Schrum and Risto Miikkulainen, 2009
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Designing falling motions for a humanoid soccer goalie
Tobias Wilken, Marcell Missura, and Sven Behnke, 2009
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Safe Fall: Humanoid robot fall direction change through intelligent stepping and inertia shaping
Seung-kook Yun, Ambarish Goswami, and Yoshiaki Sakagami, 2009
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CMDragons 2009 Extended Team Description
Stefan Zickler, James Bruce, Joydeep Biswas, Michael Licitra, and Manuela Veloso, 2009
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Learning to fall: Designing low damage fall sequences for humanoid soccer robots
J. Ruiz-del-Solar, R. Palma-Amestoy, R. Marchant, I. Parra-Tsunekawa, and P. Zegers, 2009
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Learning CPG-based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot
Gen Endo, Jun Morimoto, Takamitsu Matsubara, Jun Nakanishi, and Gordon Cheng, 2008
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Real-time selection and generation of fall damage reduction actions for humanoid robots
Kunihiro Ogata, Koji Terada, and Yasuo Kuniyoshi, 2008
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Advanced Data Mining Techniques
David L. Olson and Dursun Delen, 2008
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Viability and predictive control for safe locomotion
Pierre-Brice Wieber, 2008
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Distinguishing falls from normal ADL using vertical velocity profiles
Alan K. Bourke, Karol J. O'Donovan, and Gearóid M. ÓLaighin, 2007
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An optimal planning of falling motions of a humanoid robot
Kiyoshi Fujiwara, Shuuji Kajita, Kensuke Harada, Kenji Kaneko, Mitsuharu Morisawa, Fumio Kanehiro, Shinichiro Nakaoka, and Hirohisa Hirukawa, 2007
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The UT Austin Villa 3D Simulation Soccer Team 2007
Shivaram Kalyanakrishnan and Peter Stone, 2007
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Fall detection - Principles and Methods
N. Noury, A. Fleury, P. Rumeau, A. K. Bourke, G. ÓLaighin, V. Rialle, and J.E. Lundy, 2007
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Falling Motion Control for Humanoid Robots While Walking
Kunihiro Ogata, Koji Terada, and Yasuo Kuniyoshi, 2007
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Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals
Christian Plagemann, Dieter Fox, and Wolfram Burgard, 2007
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Piecewise-Linear Pattern Generator and Reflex System for Humanoid Robots
Riadh Zaier and Shinji Kanda, 2007
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See, walk, and kick: Humanoid robots start to play soccer
Sven Behnke, Michael Schreiber, Jörg Stückler, Reimund Renner, and Hauke Strasdat, 2006
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Towards an Optimal Falling Motion for a Humanoid Robot
Kiyoshi Fujiwara, Shuuji Kajita, Kensuke Harada, Kenji Kaneko, Mitsuharu Morisawa, Fumio Kanehiro, Shinichiro Nakaoka, and Hirohisa Hirukawa, 2006
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Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot
Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura, and Shin Ishii, 2006
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An Overview of Cooperative and Competitive Multiagent Learning
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean Luke, and Johannes A. La Poutré, 2006
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Stepping Motion for a Human-like Character to Maintain Balance against Large Perturbations
Shunsuke Kudoh, Taku Komura, and Katsushi Ikeuchi, 2006
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Balance Control of a Humanoid Robot Based on the Reaction Null Space Method
Akinori Nishio, Kentaro Takahashi, and Dragomir N. Nenchev, 2006
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Capture Point: A Step toward Humanoid Push Recovery
Jerry Pratt, John Carff, Sergey Drakunov, and Ambarish Goswami, 2006
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Instability Detection and Fall Avoidance for a Humanoid using Attitude Sensors and Reflexes
Reimund Renner and Sven Behnke, 2006
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Getting Back on Two Feet: Reliable Standing-up Routines for a Humanoid Robot
Jörg Stückler, Johannes Schwenk, and Sven Behnke, 2006
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Sensory reflex control for humanoid walking
Qiang Huang and Yoshihiko Nakamura, 2005
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Spark - A generic simulator for physical multi-agent simulations
Oliver Obst and Markus Rollman, 2005
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Zero-Moment Point - Thirty Five Years of its Life
Miomir Vukobratović and Branislav Borovac, 2005
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Failure diagnosis using decision trees
Mike Chen, Alice X. Zheng, Jim Lloyd, Michael I. Jordan, and Eric Brewer, 2004
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Webots$^TM$: Professional Mobile Robot Simulation
Olivier Michel, 2004
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Stochastic policy gradient reinforcement learning on a simple 3D biped
Russ Tedrake, Teresa Weirui Zhang, and H. Sebastian Seung, 2004
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SPEEDY: A Fall Detector in a Wrist Watch
Thomas Degen, Heinz Jaeckel, Michael Rufer, and Stefan Wyss, 2003
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Biped walking pattern generation by a simple three-dimensional inverted pendulum model
Shuuji Kajita, Fumio Kanehiro, Kenji Kaneko, Kiyoshi Fujiwara, Kazuhito Yokoi, and Hirohisa Hirukawa, 2003
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Survey of Intelligent Control Techniques for Humanoid Robots
Du\vsko Katić and Miomir Vukobratović, 2003
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UKEMI: Falling motion control to minimize damage to biped humanoid robot
Kiyoshi Fujiwara, Fumio Kanehiro, Shuji Kajita, Kenji Kaneko, Kazuhito Yokoi, and Hirohisa Hirukawa, 2002
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Balance control analysis of humanoid robot based on ZMP feedback control
Napoleon, Shigeki Nakaura, and Mitsuji Sampei, 2002
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The intelligent ASIMO: system overview and integration
Yoshiaki Sakagami, Ryujin Watanabe, Chiaki Aoyama, Shinichi Matsunaga, Nobuo Higaki, and Kikuo Fujimura, 2002
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On the stability of walking systems
Pierre-Brice Wieber, 2002
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AutoBalancer: An Online Dynamic Balance Compensation Scheme for Humanoid Robots
Satoshi Kagami, Fumio Kanehiro, Yukiharu Tamiya, Masayuki Inaba, and Hirochika Inoue, 2001
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Exploiting Inherent Robustness and Natural Dynamics in the Control of Bipedal Walking Robots
Jerry E. Pratt, 2000
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Layered Learning in Multi-Agent Systems
Peter Stone, 1998
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Applications of machine learning and rule induction
Pat Langley and Herbert A. Simon, 1995
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Methods for Competitive Co-Evolution: Finding Opponents Worth Beating
Christopher D. Rosin and Richard K. Belew, 1995
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Viability Theory
Jean-Pierre Aubin, 1991
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