Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Stefan Witwicki"'
Publikováno v:
Sensors, Vol 19, Iss 2, p 292 (2019)
Effective radioactive hotspot localization and detection is limited by sensor characteristics (i.e., the long acquisition time and poor angular resolution AR of a gamma camera) that significantly degrade the performance of autonomous exploration in t
Externí odkaz:
https://doaj.org/article/deaad657087549a2a71b3a20c5276321
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:1422-1428
This paper presents a theoretical advance by which factored POSGs can be decomposed into local models. We formalize the interface between such local models as the influence agents can exert on one another; and we prove that this interface is sufficie
Autor:
Connor Basich, Justin Svegliato, Kyle H. Wray, Stefan Witwicki, Joydeep Biswas, Shlomo Zilberstein
Publikováno v:
Artificial Intelligence. 316:103844
Autor:
Connor Basich, Justin Svegliato, Allyson Beach, Kyle H. Wray, Stefan Witwicki, Shlomo Zilberstein
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Autor:
Arec Jamgochian, Bernard Lange, David Ilstrup, Stefan Witwicki, Kyle Hollins Wray, Sachin Hagaribommanahalli, Atsuhide Kobashi
Publikováno v:
ISR
We present solutions for autonomous vehicles in limited visibility scenarios, such as traversing T-intersections, as well as detail how these scenarios can be handled simultaneously. The approach models each problem separately as a partially observab
Publikováno v:
AREA@ECAI
Given the complexity of real-world, unstructured domains, it is often impossible or impractical to design models that include every feature needed to handle all possible scenarios that an autonomous system may encounter. For an autonomous system to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74ae01baee8e6763c054fd0a35d5bc79
Publikováno v:
IROS
Due to the complexity of the real world, autonomous systems use decision-making models that rely on simplifying assumptions to make them computationally tractable and feasible to design. However, since these limited representations cannot fully captu
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 23:260-268
In planning with a Markov decision process (MDP) framework, there is the implicit assumption that the world is predictable. Practitioners must simply take it on good faith the MDP they have constructed is comprehensive and accurate enough to model th
Autor:
Stefan Witwicki, Francesco Mondada
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
This paper overviews our application of state-of-the-art automated planning algorithms to real mobile robots performing an autonomous construction task, a domain in which robots are prone to faults. We describe how embracing these faults leads to bet