Manuela M. Veloso - Google Scholar Citations

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Co-authors

Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Brett BrowningNREC, RI, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Sonia ChernovaAssociate Professor, Georgia Institute of TechnologyVerified email at cc.gatech.edu
James R BruceGoogle ResearchVerified email at google.com
Michael BowlingUniversity of Alberta / DeepMindVerified email at ualberta.ca
Joydeep BiswasAssistant Professor, Computer Science Department, University of Texas at AustinVerified email at cs.utexas.edu
Stephanie RosenthalCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Brenna ArgallNorthwestern University; Rehabilitation Institute of ChicagoVerified email at northwestern.edu
Patrick RileyGoogleVerified email at google.com
Hiroaki KitanoThe Systems Biology Institute, Director / Sony Computer Science Laboratories, Inc., President and CEO / Okinawa Institute of Science and Technology, ProfessorVerified email at sbi.jp
M AsadaProfessor of Osaka UniversityVerified email at ams.eng.osaka-u.ac.jp
Jaime CarbonellProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Tucker BalchProfessor, Georgia TechVerified email at cc.gatech.edu
Brian ColtinIntelligent Robotics Group, NASA AmesVerified email at coltin.org
Daniel BorrajoProfessor of Computer Science, Universidad Carlos III de MadridVerified email at ia.uc3m.es
Reid G. SimmonsCarnegie Mellon UniversityVerified email at cs.cmu.edu
Francisco S. MeloINESC-ID / Instituto Superior TecnicoVerified email at inesc-id.pt
Craig A. KnoblockKeston Executive Director, USC Information Sciences InstituteVerified email at isi.edu
Karen Zita HaighL3 TechnologiesVerified email at l3t.com
Jose M. F. MouraCarnegie Mellon UniversityVerified email at ece.cmu.edu

Manuela M. Veloso

Herbert A. Simon University Professor of Computer Science, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Artificial Intelligence Robotics Planning Learning Multirobot Systems


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A survey of robot learning from demonstration BD Argall, S Chernova, M Veloso, B Browning Robotics and autonomous systems 57 (5), 469-483, 2009	2708	2009
PDDL-the planning domain definition language D McDermott, M Ghallab, A Howe, C Knoblock, A Ram, M Veloso, D Weld, ... Technical Report CVC TR-98-003/DCS TR-1165, Yale Center for Computational …, 1998	1725*	1998
Multiagent systems: A survey from a machine learning perspective P Stone, M Veloso Autonomous Robots 8 (3), 345-383, 2000	1586	2000
SPIRAL: Code generation for DSP transforms M Puschel, JMF Moura, JR Johnson, D Padua, MM Veloso, BW Singer, ... Proceedings of the IEEE 93 (2), 232-275, 2005	909	2005
Fast and inexpensive color image segmentation for interactive robots J Bruce, T Balch, M Veloso Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots …, 2000	822	2000
Multiagent learning using a variable learning rate M Bowling, M Veloso Artificial Intelligence 136 (2), 215-250, 2002	817	2002
Layered learning P Stone, M Veloso European Conference on Machine Learning, 369-381, 2000	646	2000
Real-time randomized path planning for robot navigation J Bruce, MM Veloso Robot Soccer World Cup, 288-295, 2002	598	2002
Task decomposition, dynamic role assignment, and low-bandwidth communication for real-time strategic teamwork P Stone, M Veloso Artificial Intelligence 110 (2), 241-273, 1999	594	1999
Integrating planning and learning: The PRODIGY architecture M Veloso, J Carbonell, A Perez, D Borrajo, E Fink, J Blythe Journal of Experimental & Theoretical Artificial Intelligence 7 (1), 81-120, 1995	543	1995
The RoboCup synthetic agent challenge 97 H Kitano, M Tambe, P Stone, M Veloso, S Coradeschi, E Osawa, ... Robot Soccer World Cup, 62-73, 1997	459	1997
Knowledge representation and the semantics of natural language H Helbig Springer, 2006	455*	2006
Sensor resetting localization for poorly modelled mobile robots S Lenser, M Veloso Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference …, 2000	423	2000
Planning and learning by analogical reasoning MM Veloso Springer Science & Business Media, 1994	410	1994
Conditional random fields for activity recognition DL Vail, MM Veloso, JD Lafferty Proceedings of the 6th international joint conference on Autonomous agents …, 2007	406	2007
Rational and convergent learning in stochastic games M Bowling, M Veloso International joint conference on artificial intelligence 17 (1), 1021-1026, 2001	357	2001
Wifi localization and navigation for autonomous indoor mobile robots J Biswas, M Veloso 2010 IEEE international conference on robotics and automation, 4379-4384, 2010	327	2010
Prodigy: An integrated architecture for planning and learning J Carbonell, O Etzioni, Y Gil, R Joseph, C Knoblock, S Minton, M Veloso ACM SIGART Bulletin 2 (4), 51-55, 1991	325	1991
Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization MM Veloso, JG Carbonell Case-Based Learning, 55-84, 1993	318	1993
Learning by analogical reasoning in general problem solving MM Veloso CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE, 1992	306	1992

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