M
Manuela Veloso
Researcher at Carnegie Mellon University
Publications - 738
Citations - 29943
Manuela Veloso is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 71, co-authored 720 publications receiving 27543 citations. Previous affiliations of Manuela Veloso include University of Pittsburgh & Boğaziçi University.
Papers
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A survey of robot learning from demonstration
TL;DR: A comprehensive survey of robot Learning from Demonstration (LfD), a technique that develops policies from example state to action mappings, which analyzes and categorizes the multiple ways in which examples are gathered, as well as the various techniques for policy derivation.
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Multiagent Systems: A Survey from a Machine Learning Perspective
Peter Stone,Manuela Veloso +1 more
TL;DR: This survey of MAS is intended to serve as an introduction to the field and as an organizational framework, and highlights how multiagent systems can be and have been used to build complex systems.
Journal ArticleDOI
SPIRAL: Code Generation for DSP Transforms
Markus Püschel,Jose M. F. Moura,Jeremy Johnson,David Padua,Manuela Veloso,Bryan Singer,Jianxin Xiong,Franz Franchetti,A. Gacic,Yevgen Voronenko,K. Chen,R. W. Johnson,Nick Rizzolo +12 more
TL;DR: SPIRAL generates high-performance code for a broad set of DSP transforms, including the discrete Fourier transform, other trigonometric transforms, filter transforms, and discrete wavelet transforms.
Journal ArticleDOI
Multiagent Learning Using a Variable Learning Rate
Michael Bowling,Manuela Veloso +1 more
TL;DR: This article introduces the WoLF principle, “Win or Learn Fast”, for varying the learning rate, and examines this technique theoretically, proving convergence in self-play on a restricted class of iterated matrix games.
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The grand challenges of Science Robotics
Guang-Zhong Yang,James G. Bellingham,Pierre E. Dupont,Peer Fischer,Peer Fischer,Luciano Floridi,Robert J. Full,Neil Jacobstein,Neil Jacobstein,Vijay Kumar,Marcia McNutt,Robert Merrifield,Bradley J. Nelson,Brian Scassellati,Mariarosaria Taddeo,Mariarosaria Taddeo,Russell H. Taylor,Manuela Veloso,Zhong Lin Wang,Robert J. Wood,Robert J. Wood +20 more
TL;DR: These 10 grand challenges may have major breakthroughs, research, and/or socioeconomic impacts in the next 5 to 10 years and represent underpinning technologies that have a wider impact on all application areas of robotics.