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Robot control
Results: 1685

#	Item
881	Have we met? MDP Based Speaker ID for Robot Dialogue Filip Krsmanovic, Curtis Spencer, Daniel Jurafsky, and Andrew Y. Ng Department of Computer Science Stanford University, Stanford, CA, USA [removed], curti Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2011-11-11 22:30:01 Markov processes Stochastic control Automatic identification and data capture Partially observable Markov decision process Markov decision process Reinforcement learning Speech recognition Speaker recognition Language Statistics Humanâ€“computer interaction Dynamic programming
882	2011 IEEE International Conference on Robotics and Automation Shanghai International Conference Center May 9-13, 2011, Shanghai, China Ball Walker: A Case Study of Humanoid Robot Locomotion in Non-stationary Environments Add to Reading List Source URL: www.disneyresearch.com Language: English - Date: 2014-08-28 08:53:29 Kinematics Robot Motion planning Pendulum Physics Time Humanoid robot Robot control Robotics
883	To appear in IEEE International Conference on Robotics and Automation (ICRA ’08), Pasadena, CA, May[removed]Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot Daniel Stronger and Peter S Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2008-03-05 08:33:34 Robot control Linear filters Expectation–maximization algorithm Missing data Kalman filter Normal distribution Markov chain Hidden Markov model Maximum likelihood Statistics Estimation theory Markov models
884	Robotics and Autonomous Systems[removed]–339 Contents lists available at ScienceDirect Robotics and Autonomous Systems journal homepage: www.elsevier.com/locate/robot Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-11-14 18:23:43 Computational physics Virtual reality Computing Physics Robot control Kinematic chain Inverse kinematics Humanoid robot Kinect Humanâ€“computer interaction Robot kinematics 3D computer graphics
885	Learning Bayesian Tracking for Motion Estimation? Michael Felsberg and Fredrik Larsson Computer Vision Laboratory, Link¨ oping University, S[removed]Link¨ oping, Sweden Add to Reading List Source URL: liu.diva-portal.org Language: English - Date: 2010-08-19 04:05:22 Control theory Probability and statistics Monte Carlo methods Markov models Computational statistics Particle filter Kalman filter Auxiliary particle filter Markov chain Statistics Estimation theory Robot control
886	Strathprints Institutional Repository Bennet, Derek J. and McInnes, C.R[removed]Distributed control of multi-robot systems using bifurcating potential fields. Robots and Autonomous Systems, [removed]pp[removed]ISSN 092 Add to Reading List Source URL: strathprints.strath.ac.uk Language: English - Date: 2015-02-08 07:09:09 Bifurcation diagram Structure Dynamical system Pitchfork bifurcation Lyapunov stability Robotics Bifurcation theory Mathematical analysis Systems theory
887	Motion Estimation for Multi-Camera Systems using Global Optimization Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-03-04 21:52:20 Robot control Video processing Essential matrix Second-order cone programming Rotation matrix Pose Motion estimation Mathematical optimization Geometry Computer vision Transformation
888	Motion-without-Structure: Real-time Multipose Optimization for Accurate Visual Odometry Henning Lategahn, Andreas Geiger, Bernd Kitt, Christoph Stiller Institute of Measurement and Control Karlsruhe Institute of Technolo Add to Reading List Source URL: www.cvlibs.net Language: English - Date: 2012-04-20 03:51:47 Control theory Pose Kalman filter Least squares Visual odometry Robot control Cybernetics Statistics
889	doi:[removed]j.robot[removed] Add to Reading List Source URL: hawaii.naist.jp Language: English - Date: 2007-08-11 07:26:00 Humanoid robot Passive dynamics Zero moment point Reinforcement learning Walking LOPES Robot Robotics Robot control Robot kinematics
890	In IEEE International Conference on Robotics and Automation (ICRA 08), Pasadena, CA, May[removed]Negative Information and Line Observations for Monte Carlo Localization Todd Hester and Peter Stone Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2008-01-24 17:07:24 Control theory Cybernetics Markov models Robot navigation Linear filters Particle filter Kalman filter Algorithm Monte Carlo localization Estimation theory Robot control Statistics

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