Mark Moll

发表

Lydia E. Kavraki, Mark Moll, Ioan Alexandru Sucan, 2012, IEEE Robotics & Automation Magazine.

Tracing conformational changes in proteins

L. Kavraki, Mark Moll, N. Haspel, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]

Gregory S. Chirikjian, Mark Yim, Mark Moll, 2007, IEEE Robotics & Automation Magazine.

Fast stochastic motion planning with optimality guarantees using local policy reconfiguration

Lydia E. Kavraki, Mark Moll, Morteza Lahijanian, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Extending the Applicability of POMDP Solutions to Robotic Tasks

Lydia E. Kavraki, Mark Moll, Devin K. Grady, 2015, IEEE Transactions on Robotics.

The LabelHash algorithm for substructure matching

Lydia E. Kavraki, Mark Moll, Drew H. Bryant, 2010, BMC Bioinformatics.

Decoupling Constraints from Sampling-Based Planners

Lydia E. Kavraki, Mark Moll, Zachary Kingston, 2019, ISRR.

Software for project-based learning of robot motion planning

Lydia E. Kavraki, Mark Moll, Janice Bordeaux, 2013, Comput. Sci. Educ..

SUPERBOT: A Deployable, Multi-Functional, and Modular Self-Reconfigurable Robotic System

Mark Moll, Wei-Min Shen, Behnam Salemi, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

The capacity of convergence-zone episodic memory

Risto Miikkulainen, Mark Moll, Jonathan Abbey, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Orienting micro-scale parts with squeeze and roll primitives

Mark Moll, Ronald S. Fearing, Kenneth Y. Goldberg, 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

Path planning for deformable linear objects

Lydia E. Kavraki, Mark Moll, L. Kavraki, 2006, IEEE Transactions on Robotics.

Using parallelized incremental meta-docking can solve the conformational sampling issue when docking large ligands to proteins

Didier Devaurs, Mark Moll, Lydia E Kavraki, 2019, BMC Molecular and Cell Biology.

Convergence-Zone Episodic Memory: Analysis and Simulations

Risto Miikkulainen, Mark Moll, R. Miikkulainen, 1997, Neural Networks.

Path planning for minimal energy curves of constant length

Lydia E. Kavraki, Mark Moll, L. Kavraki, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

SIMS: A Hybrid Method for Rapid Conformational Analysis

L. Kavraki, Mark Moll, B. Gipson, 2013, PloS one.

Structure-guided selection of specificity determining positions in the human Kinome

P. Finn, L. Kavraki, Mark Moll, 2015, BMC Genomics.

An Evaluation of Different Clustering Methods and Distance Measures Used for Grouping Metabolic Pathways

L. Kavraki, Mark Moll, G. Bennett, 2015 .

Robonaut 2 and you: Specifying and executing complex operations

Lydia E. Kavraki, Mark Moll, William Baker, 2017, 2017 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO).

Special Issue on Self-Reconfiguring Modular Robots (Guest Editorial)

Mark Moll, Daniela Rus, Mark Moll, 2008 .

HLA-Arena: A Customizable Environment for the Structural Modeling and Analysis of Peptide-HLA Complexes for Cancer Immunotherapy

Jayvee R. Abella, L. Kavraki, Mark Moll, 2020, JCO clinical cancer informatics.

Functional Annotation of Proteins through Substructure Matching

L. Kavraki, Mark Moll, D. Bryant, 2014 .

Benchmarking Motion Planning Algorithms

Lydia E. Kavraki, Mark Moll, A. Sucan, 2015 .

Resolution Independent Density Estimation for motion planning in high-dimensional spaces

Lydia E. Kavraki, Mark Moll, Bryant Gipson, 2013, 2013 IEEE International Conference on Robotics and Automation.

Automated model approximation for robotic navigation with POMDPs

Lydia E. Kavraki, Mark Moll, Devin K. Grady, 2013, 2013 IEEE International Conference on Robotics and Automation.

Combining a POMDP Abstraction with Replanning to Solve Complex, Position-Dependent Sensing Tasks

Lydia E. Kavraki, Mark Moll, Devin K. Grady, 2013, AAAI Fall Symposia.

Head-Corner Parsing using Typed Feature Structures

Mark Moll, Mark Moll, 1999 .

Exploring implicit spaces for constrained sampling-based planning

Lydia E. Kavraki, Mark Moll, Zachary Kingston, 2019, Int. J. Robotics Res..

Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments

Lydia E. Kavraki, Mark Moll, Morteza Lahijanian, 2014, AAAI.

Asymptotically Optimal Stochastic Motion Planning with Temporal Goals

Lydia E. Kavraki, Mark Moll, Morteza Lahijanian, 2014, WAFR.

Improving the Prediction of Kinase Binding Affinity Using Homology Models

Lydia E. Kavraki, Mark Moll, Jeffrey Chyan, 2013, BCB.

Combinatorial Clustering of Residue Position Subsets Predicts Inhibitor Affinity across the Human Kinome

Lydia E. Kavraki, Mark Moll, Paul W. Finn, 2013, PLoS Comput. Biol..

Manipulation of Pose Distributions

Mark Moll, Michael A. Erdmann, M. Erdmann, 2002, Int. J. Robotics Res..

Uncertainty reduction using dynamics

Mark Moll, Michael A. Erdmann, M. Erdmann, 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

Modular Self-Reconfigurable Robot Systems

Gregory S. Chirikjian, Mark Moll, Wei-Min Shen, 2007 .

Maintaining and Enhancing Diversity of Sampled Protein Conformations in Robotics-Inspired Methods

Lydia E. Kavraki, Mark Moll, Jayvee R. Abella, 2018, J. Comput. Biol..

Defining Low-Dimensional Projections to Guide Protein Conformational Sampling

Didier Devaurs, Lydia E. Kavraki, Mark Moll, 2017, J. Comput. Biol..

Improving protein conformational sampling by using guiding projections

Didier Devaurs, Lydia E. Kavraki, Mark Moll, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Improved Performances and Control of Beer Fermentation Using Encapsulated α‐Acetolactate Decarboxylase and Modeling

Mark Moll, D. Poncelet, J. Boudrant, 2000, Biotechnology progress.

Coarse-Grained Conformational Sampling of Protein Structure Improves the Fit to Experimental Hydrogen-Exchange Data

Didier Devaurs, Lydia E. Kavraki, Mark Moll, 2017, Front. Mol. Biosci..

General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept

Didier Devaurs, Lydia E. Kavraki, Mark Moll, 2018, Scientific Reports.

Native State of Complement Protein C3d Analysed via Hydrogen Exchange and Conformational Sampling.

Didier Devaurs, Mark Moll, Lydia E Kavraki, 2018, International journal of computational biology and drug design.

Native state of complement protein C3d analysed via hydrogen exchange and conformational sampling

Didier Devaurs, Lydia E. Kavraki, Mark Moll, 2018, Int. J. Comput. Biol. Drug Des..

Sampling-Based Methods for Motion Planning with Constraints

Lydia E. Kavraki, Mark Moll, Zachary Kingston, 2018, Annu. Rev. Control. Robotics Auton. Syst..

On Flexible Docking Using Expansive Search

Lydia E. Kavraki, Allison P. Heath, Mark Moll, 2005 .

Matching of structural motifs using hashing on residue labels and geometric filtering for protein function prediction.

Mark Moll, Lydia E Kavraki, L. Kavraki, 2008, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

Path Planning for Variable Resolution Minimal-Energy Curves of Constant Length

Lydia E. Kavraki, Mark Moll, L. Kavraki, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Dynamic shape reconstruction using tactile sensors

Mark Moll, Michael A. Erdmann, M. Erdmann, 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction

Lydia E Kavraki, Cecilia Clementi, Mark Moll, 2006, Proc. Natl. Acad. Sci. USA.

Randomized Physics-Based Motion Planning for Grasping in Cluttered and Uncertain Environments

Mark Moll, Jan Rosell, Lydia Kavraki, 2017, IEEE Robotics and Automation Letters.

DINC 2.0: A New Protein-Peptide Docking Webserver Using an Incremental Approach.

Didier Devaurs, Mark Moll, Lydia E Kavraki, 2017, Cancer research.

SMT-based synthesis of integrated task and motion plans from plan outlines

Swarat Chaudhuri, Lydia E. Kavraki, Mark Moll, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Reconstructing shape from motion using tactile sensors

Mark Moll, Michael A. Erdmann, M. Erdmann, 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction

Lydia E. Kavraki, Mark Moll, Brian Y. Chen, 2010, BMC Bioinformatics.

A review of parameters and heuristics for guiding metabolic pathfinding

Mark Moll, Sarah M. Kim, Matthew I. Peña, 2017, Journal of Cheminformatics.

Modular Self-reconfigurable Robot Systems: Challenges and Opportunities for the Future

Mark Moll, Wei-Min Shen, Hod Lipson, 2007 .

Informing Multi-Modal Planning with Synergistic Discrete Leads

Lydia E. Kavraki, Zachary Kingston, Mark Moll, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Experience-based planning with sparse roadmap spanners

Kei Okada, Mark Moll, Nikolaus Correll, 2014, 2015 IEEE International Conference on Robotics and Automation (ICRA).

A scalable motion planner for high-dimensional kinematic systems

Lydia E. Kavraki, Julia Badger, Ryan Luna, 2020, Int. J. Robotics Res..

Online motion planning for unexplored underwater environments using autonomous underwater vehicles

Lydia E. Kavraki, Eduard Vidal, Mark Moll, 2018, J. Field Robotics.

Machine Learning Guided Atom Mapping of Metabolic Reactions

Mark Moll, Lydia E Kavraki, George Giannakopoulos, 2018, J. Chem. Inf. Model..

Benchmarking Motion Planning Algorithms: An Extensible Infrastructure for Analysis and Visualization

Lydia E. Kavraki, Mark Moll, Ioan Alexandru Sucan, 2014, IEEE Robotics & Automation Magazine.

Online Multilayered Motion Planning with Dynamic Constraints for Autonomous Underwater Vehicles

Lydia E. Kavraki, Eduard Vidal, Mark Moll, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Lazy Evaluation of Goal Specifications Guided by Motion Planning

Lydia E. Kavraki, Mark Moll, Juan David Hernández, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Roadmap methods for protein folding.

Lydia E Kavraki, Mark Moll, David Schwarz, 2008, Methods in molecular biology.

Maintaining and Enhancing Diversity of Sampled Protein Conformations in Robotics-Inspired Methods

Jayvee R. Abella, L. Kavraki, Mark Moll, 2018, J. Comput. Biol..

HyperPlan: A Framework for Motion Planning Algorithm Selection and Parameter Optimization

L. Kavraki, Mark Moll, Zachary K. Kingston, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Native state of complement protein C3d analysed via hydrogen exchange and conformational sampling

Jayvee R. Abella, John D Lambris, L. Kavraki, 2018, Int. J. Comput. Biol. Drug Des..

A heuristic approach to finding diverse short paths

Lydia E. Kavraki, Mark Moll, Caleb Voss, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Safe distributed motion coordination for second-order systems with different planning cycles

Kostas E. Bekris, Lydia E. Kavraki, Mark Moll, 2012, Int. J. Robotics Res..

DINC 2.0: A New Protein-Peptide Docking Webserver Using an Incremental Approach.

Kyle R Jackson, L. Kavraki, Mark Moll, 2017, Cancer research.

How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? pdf

Lydia E. Kavraki, Mark Moll, W. Cannon Lewis, 2019, ArXiv.

Increasing Robot Autonomy via Motion Planning and an Augmented Reality Interface

Lydia E. Kavraki, Juan David Hernández, Mark Moll, 2020, IEEE Robotics and Automation Letters.