Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sean L. Bowman"'
Autor:
Daniel E. Koditschek, Georgios Pavlakos, J. Diego Caporale, Vasileios Vasilopoulos, Kostas Daniilidis, Sean L. Bowman, George J. Pappas
Publikováno v:
IEEE Robotics and Automation Letters. 5:4455-4462
This letter presents a reactive planning system that enriches the topological representation of an environment with a tightly integrated semantic representation, achieved by incorporating and exploiting advances in deep perceptual learning and probab
Publikováno v:
IEEE Transactions on Control of Network Systems. 7:627-637
In this paper, we study a multiagent consensus problem in which agents are only able to communicate with each other intermittently through a cloud server. To reduce the amount of required communication, we develop a self-triggered algorithm that allo
Publikováno v:
IJCAI
Traditional approaches for simultaneous localization and mapping (SLAM) rely on geometric features such as points, lines, and planes to infer the environment structure. They make hard decisions about the (data) association between observed features a
Publikováno v:
ICRA
Traditional approaches to simultaneous localization and mapping (SLAM) rely on low-level geometric features such as points, lines, and planes. They are unable to assign semantic labels to landmarks observed in the environment. Furthermore, loop closu
Publikováno v:
CDC
In this work we study a multi-agent coordination problem in which agents are only able to communicate with each other intermittently through a cloud server. To reduce the amount of required communication, we develop a self-triggered algorithm that al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::286d1859699b597b015cfc49ab456cf0
Publikováno v:
IEEE Transactions on Robotics. 30:158-176
In this paper, we study estimator inconsistency in vision-aided inertial navigation systems (VINS) from the standpoint of system's observability. We postulate that a leading cause of inconsistency is the gain of spurious information along unobservabl
Publikováno v:
The International Journal of Robotics Research. 33:182-201
This work investigates the relationship between system observability properties and estimator inconsistency for a Vision-aided Inertial Navigation System (VINS). In particular, first we introduce a new methodology for determining the unobservable dir
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642362781
WAFR
WAFR
In this paper, we study estimator inconsistency in Vision-aided Inertial Navigation Systems (VINS) from a standpoint of system observability. We postulate that a leading cause of inconsistency is the gain of spurious information along unobservable di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e010afbbf96a5e514d0fd55bc88e53c4
https://doi.org/10.1007/978-3-642-36279-8_34
https://doi.org/10.1007/978-3-642-36279-8_34
Publikováno v:
Experimental Robotics ISBN: 9783319000640
ISER
ISER
In this paper, we study estimator inconsistency in Vision-aided Inertial Navigation Systems (VINS). We show that standard (linearized) estimation approaches, such as the Extended Kalman Filter (EKF), can fundamentally alter the system observability p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b9440600046166e4ccb78af15ee4ddc
https://doi.org/10.1007/978-3-319-00065-7_22
https://doi.org/10.1007/978-3-319-00065-7_22
Publikováno v:
MRS Proceedings. 1269
Ionic transport in electrolyte membranes limits performance in both battery and fuel cell membranes. The problems have been well known for years, sometimes decades, but empirical progress in solving them has been slow. The focus here is on studies to