| 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
    Details