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pro vyhledávání: '"Blackmore, Lars"'
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007.
Includes bibliographical references (p. 177-180).
Unmanned systems, such as Autonomous Underwater Vehicles (AUVs), planetary rovers and spa
Includes bibliographical references (p. 177-180).
Unmanned systems, such as Autonomous Underwater Vehicles (AUVs), planetary rovers and spa
Externí odkaz:
http://hdl.handle.net/1721.1/42176
Robotic and embedded systems have become increasingly pervasive in applicationsranging from space probes and life support systems to robot assistants. In order to act robustly in the physical world, robotic systems must be able to detect changes in o
Externí odkaz:
http://hdl.handle.net/1721.1/32539
Autor:
Blackmore, Lars
Autonomous vehicles need to be able to plan trajectories to a specified goal that avoid obstacles, and are robust to the inherent uncertainty in the problem. This uncertainty arises due to uncertain state estimation, disturbances and modeling errors.
Externí odkaz:
http://hdl.handle.net/1721.1/32538
Autor:
Blackmore, Lars, Williams, Brian
Multiple-Model fault detection is a powerful method for detecting changes, such as faults, in dynamic systems. In many cases, the ability of such a detection scheme to distinguish between possible models for the system dynamics depends critically on
Externí odkaz:
http://hdl.handle.net/1721.1/31219
Autor:
Blackmore, Lars, Block, Steve
The objective of this project is to achieve reliable transfer of an object from one robotic manipulator to another. This capability is useful for a number of applications, for instance robotic assembly, or robots with multiple manipulators, such as h
Externí odkaz:
http://hdl.handle.net/1721.1/31217
Publikováno v:
In Systems & Control Letters August 2012 61(8):863-870
Publikováno v:
In Robotics and Autonomous Systems 2008 56(2):105-129
Akademický článek
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Autor:
Açıkmeşe, Behçet, Blackmore, Lars
Publikováno v:
In Automatica 2011 47(2):341-347
Publikováno v:
OCEANS 2016 MTS/IEEE Monterey; 2016, p1-8, 8p