東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Coordination of Multiple Dynamic Pro...

Whitman, Eric C.

FindBook

Google Book

Amazon

博客來

Coordination of Multiple Dynamic Programming Policies for Control of Bipedal Walking.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Coordination of Multiple Dynamic Programming Policies for Control of Bipedal Walking./
作者:	Whitman, Eric C.
面頁冊數:	149 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.
Contained By:	Dissertation Abstracts International75-02B(E).
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3575516
ISBN:	9781303536786

Coordination of Multiple Dynamic Programming Policies for Control of Bipedal Walking.
Whitman, Eric C.

Coordination of Multiple Dynamic Programming Policies for Control of Bipedal Walking. - 149 p.

Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.

Thesis (Ph.D.)--Carnegie Mellon University, 2013.

Walking is a core task for humanoid robots. Most existing walking controllers fall into one of two categories. One category plans ahead and walks precisely; they can place the feet in desired locations to avoid obstacles but react poorly to unexpected disturbances. The other category is more reactive; they can respond to unexpected disturbances but can not place the feet in specific locations. In this thesis, we present a walking controller that has many of the strengths of each category: it can place the feet to avoid obstacles as well as respond successfully to unexpected disturbances.

ISBN: 9781303536786Subjects--Topical Terms:

626642
Computer Science.

Coordination of Multiple Dynamic Programming Policies for Control of Bipedal Walking.
LDR:03294nam a2200313 4500 001 1960562
005 20140623111235.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303536786
035 $a (MiAaPQ)AAI3575516
035 $a AAI3575516
040 $a MiAaPQ $c MiAaPQ
100 1 $a Whitman, Eric C. $3 2096248
245 1 0 $a Coordination of Multiple Dynamic Programming Policies for Control of Bipedal Walking.
300 $a 149 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.
500 $a Adviser: Christopher G. Atkeson.
502 $a Thesis (Ph.D.)--Carnegie Mellon University, 2013.
520 $a Walking is a core task for humanoid robots. Most existing walking controllers fall into one of two categories. One category plans ahead and walks precisely; they can place the feet in desired locations to avoid obstacles but react poorly to unexpected disturbances. The other category is more reactive; they can respond to unexpected disturbances but can not place the feet in specific locations. In this thesis, we present a walking controller that has many of the strengths of each category: it can place the feet to avoid obstacles as well as respond successfully to unexpected disturbances.
520 $a Dynamic programming is a powerful algorithm that generates policies for a large region of state space, but is limited by the "Curse of Dimensionality" to low dimensional state spaces. We extend dynamic programming to higher dimensions by introducing a framework for optimally coordinating multiple low-dimensional policies to form a policy for a single higher-dimensional system. This framework can be applied to a class of systems, which we call Instantaneously Coupled Systems, where the full dynamics can be broken into multiple subsystems that only interact at specific instants. The subsystems are augmented by coordination variables, then solved individually. The augmented systems can then be coordinated optimally by using the value functions to manage tradeoffs of the coordination variables.
520 $a We apply this framework to walking on both the Sarcos hydraulic humanoid robot and a simulation of it. We use the framework to control the linear inverted pendulum model, a commonly used simple model of walking. We then use inverse dynamics to generate joint torques based on the desired simple model behavior, which are then applied directly to either the simulation or the Sarcos robot. We discuss the differences between the hardware and the simulation as well as the controller modifications necessary to cope with them, including higher order policies and the inclusion of inverse kinematics.
520 $a Our controller produces stable walking at up to 1.05 m/s in simulation and at up to 0.22 m/s on the Sarcos robot. We also demonstrate the robustness of this method to disturbances with experiments including pushes (both impulsive and continuous), trips, ground elevation changes, slopes, regions where it is prohibited from stepping, and other obstacles. iii.
590 $a School code: 0041.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0984
690 $a 0771
710 2 $a Carnegie Mellon University. $b Robotics. $3 2096237
773 0 $t Dissertation Abstracts International $g 75-02B(E).
790 $a 0041
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3575516