Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Sardha Wijesoma"'
Autor:
Wijerupage Sardha Wijesoma, Carlos Antonio Acosta Calderon, Mohan Rajesh Elara, Changjiu Zhou
Publikováno v:
International Journal of Humanoid Robotics. :565-586
Fan out (FO) is adopted as a general index among human robot interaction researchers in predicting the maximum number of robots a single operator can handle simultaneously while maintaining performance at acceptable levels. Neglect tolerance model fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fa1f3087bd7441ded0bd43498543553
https://doi.org/10.1142/s0219843610002143
https://doi.org/10.1142/s0219843610002143
Autor:
Carlos Antonio Acosta Calderon, Rajesh Elara Mohan, Changjiu Zhou, Wijerupage Sardha Wijesoma
Publikováno v:
Robotica. 29:421-432
SUMMARYEstimating robot performance in human robot teams is a vital problem in human robot interaction community. In a previous work, we presented extended neglect tolerance model for estimation of robot performance, where the human operator switches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ab82ce3994e035cc0fb83084ace1d91
https://doi.org/10.1017/s0263574710000251
https://doi.org/10.1017/s0263574710000251
Publikováno v:
IEEE Transactions on Control Systems Technology. 18:732-740
Notable problems in Simultaneous Localization and Mapping (SLAM) are caused by biases and drifts in both exteroceptive and proprioceptive sensors. The impacts of sensor biases include inconsistent map estimates and inaccurate localization. Unlike Map
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::595b7c7667e6c7f7b104d4116bfe7a7f
https://doi.org/10.1109/tcst.2009.2026165
https://doi.org/10.1109/tcst.2009.2026165
Publikováno v:
The International Journal of Robotics Research. 29:1251-1262
The solution to the problem of mapping an environment and at the same time using this map to localize (the simultaneous localization and mapping, SLAM, problem) is a key prerequisite in the synthesis of truly autonomous vehicles. By far the most comm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cee21ca002dd03bd2cca09135240c3f7
https://doi.org/10.1177/0278364909349948
https://doi.org/10.1177/0278364909349948
Publikováno v:
The International Journal of Robotics Research. 28:172-190
The classical occupancy grid formulation requires the use of a priori known measurement likelihoods whose values are typically either assumed or learned from training data. Furthermore, in previous approaches, the likelihoods used to propagate the oc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6422449d9457ec66c88405dfb4823073
https://doi.org/10.1177/0278364908097214
https://doi.org/10.1177/0278364908097214
Publikováno v:
Robotics and Autonomous Systems. 55:527-540
For driving assistance systems, intelligent vehicles and autonomous robots to be viable in complex environments, it is necessary to have a reliable and robust localisation function. Due to the large variability and uncertainty of such complex environ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cf37c6f1d768d7ff9a2c9486f74778f
https://doi.org/10.1016/j.robot.2007.02.004
https://doi.org/10.1016/j.robot.2007.02.004
Publikováno v:
Robotics and Autonomous Systems. 55:72-85
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to determine when the transmitted signal is considered detected and hence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3adea1937ff1e70eafc7d078dd0ba427
https://doi.org/10.1016/j.robot.2006.06.010
https://doi.org/10.1016/j.robot.2006.06.010
Publikováno v:
The International Journal of Robotics Research. 25:645-667
Simultaneous Localization and Map Building (SLAM) and Map Aided Localization (MAL) are very effective techniques employed extensively in robot navigation tasks. However, biases and drifts in both exteroceptive and proprioceptive sensors adversely imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba474f1d1a07058d7640f711aa5d794a
https://doi.org/10.1177/0278364906066755
https://doi.org/10.1177/0278364906066755
Publikováno v:
Journal of Robotic Systems. 22:549-567
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51b145edab2ee99211b00c804f14ff08
https://doi.org/10.1002/rob.20085
https://doi.org/10.1002/rob.20085
Publikováno v:
IEEE Transactions on Control Systems Technology. 10:112-120
The development of techniques for lateral and longitudinal control of vehicles has become an important and active research topic in the face of emerging markets for advanced autonomous guided vehicles (AGVs) and mobile robots. In this respect, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::039509c72b40f65cb87149765d5a9733
https://doi.org/10.1109/87.974344
https://doi.org/10.1109/87.974344