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- Visibility-Based Pursuit-Evasion with Bounded Benjamin Tovar and Steven M. LaValle
- The Interaction of Representations and Planning Objectives for DecisionTheoretic Planning Tasks
- Planning With Information States: A Survey Term Project for cs397sml | Spring 2002
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- On Motion Planning in Changing, PartiallyPredictable Environments
- Algorithms for Planning under Uncertainty in Prediction and Jason M. O'Kane Benjamn Tovar Peng Cheng
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- Randomized Kinodynamic Planning Steven M. LaValle James J. Ku ner, Jr.
- A Probabilistic Roadmap Approach for Systems with Closed Kinematic Chains
- CS 497: Planning & Decision Making Spring 2003 Lecture 13 --March 4
- Robust Monte Carlo Localization for Mobile Robots Sebastian Thrun, Dieter Fox
- CS 497: Planning & Decision Making Spring 2003 Lecture 13 ---March 4
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- Motion Strategies for Maintaining Visibility of a Moving Target Steven M. LaValle H'ector H. Gonz'alezBa~nos Craig Becker JeanClaude Latombe
- Computing Smooth Feedback Plans Over Cylindrical Algebraic Decompositions
- TO APPEAR AS A REGULAR PAPER TO IEEE TRANSACTIONS ON ROBOTICS 1 Localization with Limited Sensing
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- Proceedings of the 1996IEEE international Conference on Robotics and Automation
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- Minimum Wheel-Rotation Paths for Differential Drive Mobile Robots Among Piecewise Smooth
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- Simple and Efficient Algorithms for Computing Smooth, Collision-Free Feedback Laws Over Given
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- Time-optimal Paths for a Dubins airplane Hamidreza Chitsaz and Steven M. LaValle
- Minimum Wheel-Rotation Paths for Differential-Drive Mobile Robots
- A Multiresolution Approach for Motion Planning Under Differential Constraints
- Exploiting Group Symmetries to Improve Precision in Kinodynamic and Nonholonomic Planning
- CMU-RI-TR-09-47 : The Robotics Intitute, Carnegie Mellon University, 2009 Space-Filling Trees
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- Generating Uniform Incremental Grids on SO(3) Using the Hopf Fibration
- Dynamic-Domain RRTs: Efficient Exploration by Controlling the Sampling Domain
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- Pointers to Quasi-Monte Carlo Literature Steven M. LaValle, U. of Illinois
- Efficient Nearest Neighbor Searching for Motion Planning Anna Atramentov Steven M. LaValle
- CCCG 2008, Montreal, Quebec, August 1315, 2008 Exact Pareto-Optimal Coordination of Two Translating Polygonal Robots on
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- CS497 Week 1 Notes (1/21, 1/23) Scribe: Steve Lindemann
- CS497 Week 1 Notes (1/21, 1/23) Scribe: Matthew Vagnoni
- Notes for Feb 11 and Feb 13, 2003. Scribe: Vince Horrell
- CS497 Planning and Decision Making Week 5 Notes (2/18, 2/20)
- IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, VOL. XX, NO. Y, MONTH 2002 100 Probabilistic Pursuit-Evasion Games: Theory,
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- Sensor Beams, Obstacles, and Possible Paths Benjamin Tovar 1 , Fred Cohen 2 , and Steven M. LaValle 1
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- I-Bug: An Intensity-Based Bug Algorithm Kamilah Taylor and Steven M. LaValle
- Rendezvous without Coordinates Jingjin Yu Steven M. LaValle Daniel Liberzon
- Exact Pareto-Optimal Coordination of Two Translating Polygonal Robots on an Acyclic Roadmap
- Notes for Feb 4 and Feb 6, 2003. Scribed by Pedro DeRose
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- Incrementally Reducing Dispersion by Increasing Voronoi Bias in RRTs Stephen R. Lindemann Steven M. LaValle
- Finding Mixed Strategies with Small Supports in Extensive Form Games \Lambda
- Path Planning in Practice; Lazy Evaluation on a Multiresolution Grid
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- Value Function Approximation in ZeroSum Markov Games Michail G. Lagoudakis and Ronald Parr
- Optimal Auctions Revisited Dov Monderer and Moshe Tennenholtz
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- On Comparing the Power of Robots Jason M. O'Kane and Steven M. LaValle
- Incremental Low-Discrepancy Lattice Methods for Motion Planning Stephen R. Lindemann Steven M. LaValle
- Spring 2003 Scribe Notes
- Robot Motion Planning in a Changing, Partially Predictable Environment
- Incremental LowDiscrepancy Lattice Methods for Motion Planning Stephen R. Lindemann Steven M. LaValle
- Steps Toward Derandomizing RRTs Stephen R. Lindemann Steven M. LaValle
- Using Randomization to Find and Optimize Feasible Trajectories for Nonlinear Systems
- Agglomerative Clustering on Range Data with a Unified Probabilistic Merging Function and Termination Criterion 1
- Lectures Notes #1 Jan 21 Decision Theory: 1 DM (Decision Maker), 1 Stage
- PursuitEvasion in an Unknown Environment Using Gap Navigation Graphs
- E#cient Nearest Neighbor Searching for Motion Planning Anna Atramentov Steven M. LaValle
- Rapidly-Exploring Random Trees: Progress and Prospects Steven M. LaValle, Iowa State University, Ames, IA, USA
- Finding an Unpredictable Target in a Workspace with Obstacles Steven M. LaValle David Lin Leonidas J. Guibas JeanClaude Latombe Rajeev Motwani
- Dynamic Programming Notes Steven M. LaValle
- Bayesian Region Merging Probability for Parametric Image Steven M. LaValle Seth A. Hutchinson
- Minimax RealTime Heuristic Search GITCOGSCI2001/02
- Motion Planning by Lydia E. Kavraki and Steven M. LaValle
- Methods for Numerical Integration of HighDimensional Posterior Densities with Application to Statistical Image Models
- CS497 Planning and Decision Making Week 4 Notes (Feb. 11, 13)
- Journal of Artificial Intelligence Research 9 (1998) 295316 Submitted 9/97; published 11/98 The Ariadne's Clew Algorithm
- CS497 Week 3 Notes (2/4, 2/6) Scribe: Rishi Talreja
- Bayesian Statistics in Medicine: Where Are We and Where Should We Be Going? Dalene Stangl and Don Berry
- Smooth Feedback for Car-Like Vehicles in Polygonal Environments Stephen R. Lindemann and Steven M. LaValle
- Optimal Navigation and Object Finding without Geometric Maps or Localization
- An Improved Random Neighborhood Graph Approach Libo Yang Steven M. LaValle
- Archives of Control Sciences Volume 11(XLVII), 2001
- On Time: Clocks, Chronometers, and OpenLoop Control Steven M. LaValle Magnus B. Egerstedt
- An Improved Random Neighborhood Graph Approach Libo Yang Steven M. LaValle
- A Planning Algorithm for Dynamic Motions Pedro S. Huang 1
- Randomized Kinodynamic Planning Steven M. LaValle James J. Ku ner, Jr.
- IEEE TRANSACTIONS ON ROBOTICS / SHORT PAPER 1 Improving Motion Planning Algorithms by Efficient
- 1 Nash Equilibrium for mixed strategies Nash shown that every non-cooperative game with finite sets of pure strategies has at least one
- Motion Planning by Lydia E. Kavraki and Steven M. LaValle
- Incrementally Reducing Dispersion by Increasing Voronoi Bias in RRTs Stephen R. Lindemann Steven M. LaValle
- SUBMITTED TO IEEE TRANSACTIONS ON ROBOTICS 1 Distance-Optimal Navigation in an Unknown
- International Journal of Computational Geometry & Applications Vol. 9, Nos. 4 & 5 (1999) 495--512
- 1 Nash Equilibrium for mixed strategies Nash shown that every noncooperative game with finite sets of pure strategies has at least one
- Robot Motion Planning: A GameTheoretic Foundation Steven M. LaValle, Stanford University, Stanford, CA USA
- On Considering Uncertainty and Alternatives in LowLevel Vision Steven M. LaValle Seth A. Hutchinson
- Efficient Generation of Motion Transitions using Spacetime Constraints Charles Rose
- Algorithms for Computing Numerical Optimal Feedback Motion Strategies
- A Lazy Probabilistic Submitted to the International Journal of Robotics Research
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- From Dynamic Programming to RRTs: Algorithmic Design of Feasible Trajectories
- Sensor Beams, Obstacles, and Possible Paths Benjamin Tovar1
- A Framework for Motion Planning in Stochastic Environments: Modeling and Analysis
- A Framework for Constructing Probability Distributions on the Space of Image Segmentations
- Reinforcement Learning: A Tutorial Mance E. Harmon
- An Algorithm for Searching a Polygonal Region with a Flashlight Steven M. LaValle Borislav Simov Giora Slutzki
- Reducing Metric Sensitivity in Randomized Trajectory Design Peng Cheng Steven M. LaValle
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- LocallyOptimal Navigation in MultiplyConnected Environments without Geometric Maps
- Ecient Database Screening for Rational Drug Design Using Pharmacophore-Constrained Conformational Search
- Lecture Notes for CS497 Jan 28 and 30 Hanning Zhou
- From Dynamic Programming to RRTs: Algorithmic Design of Feasible Trajectories
- Exploiting Group Symmetries Improve Precision Kinodynamic and Nonholonomic Planning
- Using Motion Planning to Study Protein Folding Pathways Department of Computer Science
- Dynamicallystable Motion Planning for Humanoid Robots James Kuffner, Jr., Satoshi Kagami, Masayuki Inaba, and Hirochika Inoue
- An ObjectiveBased Framework for Motion Planning under Sensing and Control Uncertainties
- Visibility-Based Pursuit-Evasion: The Case of Curved Environments Steven M. LaValle John E. Hinrichsen
- Discrete Planning Steven M. LaValle
- Probabilistic Shadow Information Spaces Jingjin Yu Steven M. LaValle
- Smoothly Blending Vector Fields for Global Robot Stephen R. Lindemann and Steven M. LaValle
- Path Selection and Coordination for Multiple Robots via Nash Equilibria Steven M. LaValle Seth A. Hutchinson
- A BAYESIAN FRAMEWORK FOR CONSIDERING PROBABILITY DISTRIBUTIONS OF IMAGE SEGMENTS AND SEGMENTATIONS
- CS497sml Planning and Decision Making Notes 2/112/13/2003 giokao@uiuc.edu
- An Algorithm for Searching a Polygonal Region with a Steven M. LaValle Borislav H. Simov Giora Slutzki
- In Artificial Intelligence 94(1), July 1997, pages 167215 Representations and Solutions for GameTheoretic Problems
- Machine Learning, 1, 1{31 (2001) 2001 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- A Framework for Motion Planning in Stochastic Environments: Applications and Computational Issues
- A VisibilityBased PursuitEvasion Problem Leonidas J. Guibas JeanClaude Latombe Steven M. LaValle David Lin Rajeev Motwani
- Interactive Manipulation of Rigid Body Simulations Jovan Popovic
- On Comparing the Power of Mobile Robots Jason M. O'Kane and Steven M. LaValle
- A Grasp-based Motion Planning Algorithm for Character Animation
- CS497 Lecture Notes -Feb. 25, Feb. 27 Scribed by Michael Treaster
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- Visibility-Based Pursuit-Evasion in an Unknown Planar Environment
- Learning combinatorial information from permutations of Benjamin Tovar
- February 6, 2007 12:48 WSPC/Guidelines paper International Journal of Computational Geometry & Applications
- On the Relationship Between Classical Grid Search and Probabilistic Roadmaps
- Sloppy motors, flaky sensors, and virtual dirt: Comparing imperfect ill-informed robots
- Optimizing Robot Motion Strategies for Assembly with Stochastic Models of the Assembly Process
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- Improving the Performance SamplingBased Planners Using SymmetryExploiting Gap Reduction Algorithm
- Spring 2003 Scribe Notes
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- Ecient Computation of Optimal Navigation Functions for Nonholonomic Planning
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- DynamicDomain RRTs: Efficient Exploration by Controlling the Sampling Domain #
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- Lectures Notes #2 Jan 23 A Game against Nature
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- Planning and Acting in Partially Observable Stochastic Domains
- Submitted to the Advanced Robotics journal Visibilitybased probabilistic roadmaps for motion
- CS 497sml: Week 8 Notes (Mar. 11, 13) LinShi(linshi@uiuc.edu)
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- Contemporary Mathematics Using a Robot to Learn Geometric Information from
- 488 IEEE TRANSACTIONS ON ROBOTICS, VOL. 24, NO. 2, APRIL 2008 Improving the Performance of Sampling-Based Motion
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- Adaptive Tuning of the Sampling Domain for Dynamic-Domain RRTs
- Numerical Computation of Optimal Navigation Functions on a Simplicial Complex
- Computer Science 497 SML Transcription of the class notes for March 4 and March 6, 2003
- Current Issues in SamplingBased Motion Planning Stephen R. Lindemann Steven M. LaValle
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- A Bayesian Segmentation Methodology for Parametric Image Steven M. LaValle Seth A. Hutchinson
- A Framework for Planning Feedback Motion Strategies Based on a Random Neighborhood Graph
- The Eighth International Symposium of Robotics Research
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- Optimal Gap Navigation for a Disc Robot Rigoberto Lopez-Padilla
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- Controlling Wild Mobile Robots Using Virtual Gates and Discrete Transitions
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- Controlling Wild Bodies Using Discrete Transition Systems
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