Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Todd Murphey"'
Autor:
Ahalya Prabhakar, Todd Murphey
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Information-based search strategies are relevant for the learning of interacting agents dynamics and usually need predefined data. The authors propose a method to collect data for learning a predictive sensor model, without requiring domain knowledge
Externí odkaz:
https://doaj.org/article/6024394a121c48419b805cc2e69bfe71
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783031255540
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b0bbef34f525f0663867d9a77a24159
https://doi.org/10.1007/978-3-031-25555-7_11
https://doi.org/10.1007/978-3-031-25555-7_11
Autor:
Joel Meyer, Ahalya Prabhakar, Allison Pinosky, Ian Abraham, Annalisa Taylor, Millicent Schlafly, Katarina Popovic, Giovani Diniz, Brendan Teich, Borislava Simidchieva, Shane Clark, Todd Murphey
We present a method for controlling a swarm using its spectral decomposition -- that is, by describing the set of trajectories of a swarm in terms of a spatial distribution throughout the operational domain -- guaranteeing scale invariance with respe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26527fad9a4d1861758368aa9a124227
http://arxiv.org/abs/2212.03106
http://arxiv.org/abs/2212.03106
Autor:
Taosha Fan, Todd Murphey
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030954581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f644283f7f67b0bdeb5c003c8d6f5662
https://doi.org/10.1007/978-3-030-95459-8_24
https://doi.org/10.1007/978-3-030-95459-8_24
We propose a novel sparse constrained formulation and from it derive a real-time optimization method for 3D human pose and shape estimation. Our optimization method, SCOPE (Sparse Constrained Optimization for 3D human Pose and shapE estimation), is o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c41f5ac53ceace9831e20495a8238dec
Autor:
Nozomi Akashi, Iain A. Anderson, Yasemin Ozkan Aydin, Daniel M. Baechle, Remmi Baker, Anna C. Balazs, Allan M. Brooks, Nikolaus Correll, U. Daalkhaijav, Kristopher A. Darling, Donglei Fan, Andrew Gaynor, Anit K. Giri, Daniel I. Goldman, Jianhe Guo, Christian M. Hubicki, Hiroshi Ishii, Volodymyr B. Koman, Daichi Kozawa, Tao Li, Zhaohan Li, Zexi Liang, Pingwei Liu, Albert Tianxiang Liu, Carmel Majidi, E.-F. Markus Henke, Michael C. McAlpine, Y. Mengüç, Jeffrey L. Moran, Randy A. Mrozek, Todd Murphey, Kohei Nakajima, Sung Hyun Park, Ron Pelrine, Ana Pervan, Kirstin H. Petersen, Jennifer M. Rieser, William Savoie, Ayusman Sen, Robert F. Shepherd, Oleg E. Shklyaev, Henry Shum, Geoffrey A. Slipher, Michael S. Strano, Ruitao Su, S. Walker, Shawn M. Walsh, Raymond Wildman, Katherine E. Wilson, Jing Fan Yang, Lining Yao, O.D. Yirmibeşoğlu, Ge Zhang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::078d306edc4ac7b2337bbe3a38e1807d
https://doi.org/10.1016/b978-0-08-102260-3.09991-1
https://doi.org/10.1016/b978-0-08-102260-3.09991-1
This volume is the outcome of the eighth edition of the biennial Workshop on Algorithmic Foundations of Robotics (WAFR). Edited by G.S. Chirikjian, H. Choset, M. Morales and T. Murphey, the book offers a collection of a wide range of topics in advanc