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pro vyhledávání: '"Rowland O'Flaherty"'
Autor:
Rowland O'Flaherty, Magnus Egerstedt
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 12:19-27
This paper presents an algorithm for learning the switching policy and the boundaries conditions between primitive controllers that maximize the translational movements of a complex locomoting system. The algorithm learns an optimal action for each b
Autor:
Rowland O'Flaherty, Magnus Egerstedt
Publikováno v:
IROS
This paper presents an algorithm that optimally explores an unknown environment with regions of varying degrees of importance. The algorithm, termed Ergodic Environmental Exploration (E3), is a finite receding horizon optimal control algorithm that m
Publikováno v:
2014 IEEE Aerospace Conference.
A sample acquisition and caching architecture has been developed for the proposed Mars 2020 mission that acquires samples directly into sample tubes in coring bits. Sample tubes are inserted and removed from the bits, seals are inserted into the tube
Autor:
Magnus Egerstedt, Rowland O'Flaherty
Publikováno v:
CASE
This paper presents a hybrid control strategy for learning the switching boundaries between primitive controllers that maximize the translational movements of complex locomoting systems. Through this abstraction, the algorithm learns an optimal actio
Autor:
Mike Stilman, Peter Vieira, Paul Y. Oh, Magnus Egerstedt, Aaron F. Bobick, Michael X. Grey, Rowland O'Flaherty
Publikováno v:
TePRA
This paper presents the implementation of inverse kinematics to achieve teleoperation of a physical humanoid robot platform. The humanoid platform will be used to compete in the DARPA Robot Challenge, which requires autonomous execution of various se
Publikováno v:
ACC
Combining local state-feedback laws and open-loop schedules, we design a hybrid control algorithm for robust global stabilization of the pendubot to the upright configuration (both links straight up with zero velocity). Our hybrid controller performs