Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Scott Lenser"'
Autor:
Phil Fong, Tyagaraja Ramaswamy, Justin Shriver, Jimmy Briggs, Dimitri A. Lisin, Scott Lenser, Nandan Banerjee, Victoria Albanese, Zhongjian Zhu
Publikováno v:
ECMR
A Graph SLAM system is only as good as the edges in its pose graph. Critical mistakes in the generation of these edges can instantly render a map inconsistent, misleading, and ultimately unusable. For a lifelong mapping system, where the map is updat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5010907598a0336f04e157c96bbc5a3
https://doi.org/10.1109/ecmr50962.2021.9568826
https://doi.org/10.1109/ecmr50962.2021.9568826
Publikováno v:
ICRA
We present a fast nonlinear approximation method for marginalizing out nodes on pose graphs for longterm simultaneous localization, mapping, and navigation. Our approximation preserves the pose graph structure to leverage the rich literature of pose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49844ce3ad2d7a929363b914fb9ef668
https://doi.org/10.1109/icra.2018.8460979
https://doi.org/10.1109/icra.2018.8460979
Autor:
Chris V. Jones, Scott Lenser
Publikováno v:
SPIE Proceedings.
Sliding scale autonomy has been suggested as a practical way of organizing robot controls. In this paper, we investigate practical problems in sliding scale autonomy. We take a constructionist approach of building systems with sliding scale autonomy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d63a79da66f4f16a31b0b1b48da54f5
https://doi.org/10.1117/12.777183
https://doi.org/10.1117/12.777183
Autor:
Scott Lenser, Manuela Veloso
Publikováno v:
ICRA
We present an improved state-based prediction algorithm for time series. Given time series produced by a process composed of different underlying states, the algorithm predicts future time series values based on past time series values for each state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4f33fd6e6951f98752fea7a4b9a67c1
https://doi.org/10.1109/robot.2005.1570719
https://doi.org/10.1109/robot.2005.1570719
Autor:
Scott Lenser, Manuela Veloso
Publikováno v:
IROS
We extend our previous work on a classification algorithm for time series. Given time series produced by different underlying generating processes, the algorithm predicts future time series values based on past time series values for each generator.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5068cef2378eda0f67b6bb6c5766681e
https://doi.org/10.1109/iros.2004.1389820
https://doi.org/10.1109/iros.2004.1389820
Autor:
Manuela Veloso, Scott Lenser
Publikováno v:
IROS
We contribute a fast system for avoiding unknown obstacles on a mobile robot using a simple camera as the only sensor. The vision module detects objects, both known and unknown, around the robot. Unknown objects are detected by paying attention to oc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fea18a0a26ac03888b918ee1236e5764
https://doi.org/10.1109/iros.2003.1250741
https://doi.org/10.1109/iros.2003.1250741
Autor:
Manuela Veloso, Scott Lenser
Publikováno v:
ICRA
Robots typically have many sensors, which are underutilized. This is usually because no simple mathematical models of the sensors have been developed or the sensors are too noisy to use techniques, which require simple noise models. We propose to use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::419461586181c28327fe4e16c94fbe3f
https://doi.org/10.1109/robot.2003.1241790
https://doi.org/10.1109/robot.2003.1241790
Autor:
Scott Lenser, Manuela Veloso
Publikováno v:
ICRA
We present a new localization algorithm, called sensor resetting localization, which is an extension of Monte Carlo localization. The algorithm adds sensor based re-sampling to Monte Carlo localization when the robot is lost. Sensor resetting localiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03323d9a8778570f2eb3c53933c1c20a
https://doi.org/10.1109/robot.2000.844766
https://doi.org/10.1109/robot.2000.844766
Publikováno v:
RoboCup 2001: Robot Soccer World Cup V ISBN: 9783540439127
RoboCup
RoboCup
This paper describes a motion system for a quadruped robot that performs smooth transitions over requested body trajectories. It extends the generality of path based approaches by introducing geometric primitives that guarantee smoothness while decre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ccfb1fadd3523cd71934ef0b0add246
https://doi.org/10.1007/3-540-45603-1_33
https://doi.org/10.1007/3-540-45603-1_33
Publikováno v:
RoboCup 2001: Robot Soccer World Cup V ISBN: 9783540439127
RoboCup
RoboCup
This paper describes a highly modular hierarchical behavior-based control system for robots. Key features of the architecture include: easy addition/removal of behaviors, easy addition of specialized behaviors, easy to program hierarchical structure,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::637912b4e7007271b012861cc970e4c5
https://doi.org/10.1007/3-540-45603-1_54
https://doi.org/10.1007/3-540-45603-1_54