Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tesca Fitzgerald"'
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Improvisation is a hallmark of human creativity and serves a functional purpose in completing everyday tasks with novel resources. This is particularly exhibited in tool-using tasks: When the expected tool for a task is unavailable, humans often are
Externí odkaz:
https://doaj.org/article/915cd4e2771a44da8b12a761ae5d5013
Autor:
Adam Norton, Henny Admoni, Jacob Crandall, Tesca Fitzgerald, Alvika Gautam, Michael Goodrich, Amy Saretsky, Matthias Scheutz, Reid Simmons, Aaron Steinfeld, Holly Yanco
Publikováno v:
ACM Transactions on Human-Robot Interaction. 11:1-38
As development of robots with the ability to self-assess their proficiency for accomplishing tasks continues to grow, metrics are needed to evaluate the characteristics and performance of these robot systems and their interactions with humans. This p
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
When a robot adapts a learned task for a novel environment, any changes to objects in the novel environment have an unknown effect on its task execution. For example, replacing an object in a pick-and-place task affects where the robot should target
Autor:
Aaron Steinfeld, Reid Simmons, Scott Niekum, Pallavi Koppol, Yuchen Cui, Tesca Fitzgerald, Henny Admoni
Publikováno v:
IJCAI
Human-in-the-loop Machine Learning (HIL-ML) is a widely adopted paradigm for instilling human knowledge in autonomous agents. Many design choices influence the efficiency and effectiveness of such interactive learning processes, particularly the inte
Robots share a conundrum central to all intelligence. Like humans, robots not only must address novel situations but also must start from what they already know: how, then, can any robot deal with novelty? In this chapter, we examine two cognitive st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ab2e9e080da0e17b01e94b3d7acccec
https://doi.org/10.1016/b978-0-12-820543-3.00002-x
https://doi.org/10.1016/b978-0-12-820543-3.00002-x
Autor:
Olivier Bartheye, Jonathan Barzilai, Tyler Bath, Genevieve Bell, Caitlin M. Bentley, Derek Brock, Daniel J. Brooks, Sophie Brusniak, Beth Cardier, Niccolo Casas, Laurent Chaudron, Shu-Heng Chen, Richard Ciavarra, Michael Crowell, Dalton J. Curtin, Katherine A. Daniell, Noel Derwort, Saikou Diallo, Zac Hatfield Dodds, Sheng Dong, Tesca Fitzgerald, Hesham Fouad, Boris Galitsky, Ashok K. Goel, H.T. Goranson, Ariel M. Greenberg, Brian Jalaian, Joseph Knierman, James T. Kuczynski, William F. Lawless, Kobi Leins, John Licato, James Llinas, Patrick Lundberg, Amy K. McLennan, D. Douglas Miller, Ranjeev Mittu, Ira S. Moskowitz, Ehsan Nabavi, Alex Nielsen, Walt Panfil, Priyam Parashar, Sooyoung Park, Ryan Quandt, Ali K. Raz, Joshua J. Rodriguez, Stephen Russell, Geoffrey W. Rutledge, Larry D. Sanford, Mitchell Schmidt, Michael Scott, John Shull, Donald A. Sofge, Aaron Steinfeld, Adit Suvarna, Lisa Troyer, Elizabeth T. Williams, Michael Wollowski, Elena A. Wood, Joseph C. Wood, Holly A. Yanco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8833a0335e41a4ff7d766166022fc105
https://doi.org/10.1016/b978-0-12-820543-3.09991-0
https://doi.org/10.1016/b978-0-12-820543-3.09991-0
Publikováno v:
ACM Transactions on Human-Robot Interaction. 7:1-24
When transferring a learned task to an environment containing new objects, a core problem is identifying the mapping between objects in the old and new environments. This object mapping is dependent on the task being performed and the roles objects p
Publikováno v:
Artificial Intelligence. 300:103551
When a robot adapts a learned task for a novel environment, any changes to objects in the novel environment have an unknown effect on its task execution. For example, replacing an object in a pick-and-place task affects where the robot should target
Autor:
Joseph A. Blass, Tesca Fitzgerald
Publikováno v:
AI Magazine; Vol 38 No 4: Winter 2017; 91-92
Computational analogy and case-based reasoning (CBR) are closely related research areas. Both employ prior cases to reason in complex situations with incomplete information. Analogy research often focuses on modeling human cognitive processes, the st
Publikováno v:
2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).