Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ethan Stump"'
Autor:
Brian Cèsar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Autonomous navigation to a specified waypoint is traditionally accomplished with a layered stack of global path planning and local motion planning modules that generate feasible and obstacle-free trajectories. While these modules can be modified to m
Externí odkaz:
https://doaj.org/article/e75f7f4fe8da4a55bf14310d5c1ea47e
Hierarchical Planning for Heterogeneous Multi-Robot Routing Problems via Learned Subteam Performance
Autor:
Jacopo Banfi, Andrew Messing, Christopher Kroninger, Ethan Stump, Seth Hutchinson, Nicholas Roy
Publikováno v:
IEEE Robotics and Automation Letters. 7:4464-4471
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea703e704a7ac9e8e6a9ce922b1063a1
https://doi.org/10.1109/lra.2022.3148489
https://doi.org/10.1109/lra.2022.3148489
Autor:
Chad Kessens, Matthew Kaplan, Trevor Rocks, Philip Osteen, John Rogers, Ethan Stump, Arnon Hurwitz, Jonathan Fink, Long Quang, Mark Gonzalez, Jaymit Patel, Michael DiBlasi, Shiyani Patel, Matthew Weiker, Dilip Patel, Joseph Bowkett, Renaud Detry, Sisir Karumanchi, Larry Matthies, Joel Burdick, Yash Oza, Aditya Agarwal, Andrew Dornbush, Dhruv Saxena, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Aditya Mandalika, Sanjiban Choudhury, Siddhartha Srinivasa
Publikováno v:
Field Robotics. 2:1232-1262
We present the design, integration, and evaluation of a full-stack robotic system called RoMan, which can conduct autonomous field operations involving physical interaction with its environment. RoMan offers autonomous behaviors that can be triggered
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bf2557e113021e1d1859c054e39d8f9
https://doi.org/10.55417/fr.2022041
https://doi.org/10.55417/fr.2022041
Autor:
Thomas Howard, Ethan Stump, Jonathan Fink, Jacob Arkin, Rohan Paul, Daehyung Park, Subhro Roy, Daniel Barber, Rhyse Bendell, Karl Schmeckpeper, Junjiao Tian, Jean Oh, Maggie Wigness, Long Quang, Brandon Rothrock, Jeremy Nash, Matthew Walter, Florian Jentsch, Nicholas Roy
Publikováno v:
Field Robotics. 2:468-512
For humans and robots to collaborate effectively as teammates in unstructured environments, robots must be able to construct semantically rich models of the environment, communicate efficiently with teammates, and perform sequences of tasks robustly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b531d566467710b8f675f85414aabf5b
https://doi.org/10.55417/fr.2022017
https://doi.org/10.55417/fr.2022017
Autor:
Jonathan Fink, Carlos Nieto-Granda, John Carter, Arthur Schang, Ethan Stump, John G. Rogers, John Ware
Publikováno v:
Experimental Robotics ISBN: 9783030711504
ISER
ISER
Software solutions to the Simultaneous Localization and Mapping (SLAM) problem have successfully transitioned from the laboratory to the commercial sector in recent years; however, these systems often operate under ideal conditions and in structured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dae5393d0dff90877e7a48f78f6e399
https://doi.org/10.1007/978-3-030-71151-1_35
https://doi.org/10.1007/978-3-030-71151-1_35
Autor:
Brian Cèsar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich
Publikováno v:
Frontiers in Robotics and AI
Frontiers in Robotics and AI, Vol 8 (2021)
Frontiers in Robotics and AI, Vol 8 (2021)
Autonomous navigation to a specified waypoint is traditionally accomplished with a layered stack of global path planning and local motion planning modules that generate feasible and obstacle-free trajectories. While these modules can be modified to m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d4144534f19778043aecbfefd25027e
https://pubmed.ncbi.nlm.nih.gov/34141727
https://pubmed.ncbi.nlm.nih.gov/34141727
Publikováno v:
ICRA
This paper presents an approach and introduces new open-source tools that can be used to evaluate robotic mapping algorithms. Also described is an extensive subterranean mine rescue dataset based upon the DARPA Subterranean (SubT) challenge including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed50e7b9596d65070d0083ee5c791d93
https://doi.org/10.1109/icra40945.2020.9197156
https://doi.org/10.1109/icra40945.2020.9197156
Autor:
Long Quang, Matthew Weiker, Kostas Daniilidis, Yash Oza, John G. Rogers, Mark Gonzalez, Philip R. Osteen, Maxim Likhachev, Shiyani Patel, Siddhartha S. Srinivasa, Joel W. Burdick, Jonathan Fink, Aditya Agarwal, Aditya Mandalika, Michael DiBlasi, Sanjiban Choudhury, Sisir Karumanchi, Arnon Hurwitz, Joseph Bowkett, Renaud Detry, Chad C. Kessens, Andrew Dornbush, Matthew Kaplan, Larry Matthies, Karl Schmeckpeper, Jaymit Patel, Dilip G. Patel, Trevor Rocks, Ethan Stump, Ajinkya Kamat
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
Robots are ideal surrogates for performing tasks that are dull, dirty, and dangerous. To fully achieve this ideal, a robotic teammate should be able to autonomously perform human-level tasks in unstructured environments where we do not want humans to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bcdb7c3950527214325b607b1086705
https://doi.org/10.1117/12.2559995
https://doi.org/10.1117/12.2559995
Autor:
William D. Nothwang, David C. Jangraw, Kaleb McDowell, Brent J. Lance, Ethan Stump, Kuan-Ting Lai, Brian M. Sadler, Amar R. Marathe, Jonathan Touryan, Jason S. Metcalfe, Jamie R. Lukos
Publikováno v:
Theoretical Issues in Ergonomics Science. 19:283-320
A primary goal for human-autonomy integration (HAI) is to balance the strengths of human and autonomy in order to achieve performance objectives more efficiently and robustly than either the human ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de5485ea6cfface3c4e2918c0b0b627b
https://doi.org/10.1080/1463922x.2017.1297865
https://doi.org/10.1080/1463922x.2017.1297865
Publikováno v:
IROS
We consider discriminative dictionary learning in a distributed online setting, where a team of networked robots aims to jointly learn both a common basis of the feature space and a classifier over this basis from sequentially observed signals. We fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4661f460d65995f1234878eeab5dbaa7
https://doi.org/10.1109/tsipn.2017.2662618
https://doi.org/10.1109/tsipn.2017.2662618