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Titlebook: Research Issues in Learning Disabilities; Theory, Methodology, Sharon Vaughn,Candace S. Bos Book 1994 Springer-Verlag New York Inc. 1994 19

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樓主: ergonomics
41#
發(fā)表于 2025-3-28 14:58:32 | 只看該作者
Steve Graham,Karen R. Harrisonding cutting processes are then briefly described, and the generation of active flank surfaces of the teeth is defined. The main geometrical quantities of these gears are then determined as well as those concerning the equivalent cylindrical gears obtained using the Tredgold approximation. The loa
42#
發(fā)表于 2025-3-28 19:24:06 | 只看該作者
s first determined, and useful considerations on this topic are made. Other important characteristic quantities of these types of gears are then determined, such as the lengths of the path of contact, path of?approach and path of recess as well as the lengths of the corresponding arcs and values of
43#
發(fā)表于 2025-3-28 22:58:41 | 只看該作者
44#
發(fā)表于 2025-3-29 03:26:11 | 只看該作者
45#
發(fā)表于 2025-3-29 08:17:18 | 只看該作者
James D. McKinneyally invented by Egorov and Iofik and, as shown here, it has a number of favorable geometrical and kinematic, power, strength, layout, and manufacturing properties. It is offered to name it “QN-gear” and to use hardened steel as the material of its gear rim that sharply raises its strength. The quan
46#
發(fā)表于 2025-3-29 14:02:37 | 只看該作者
Deborah L. Speecelications, such as straight bevel gears; crossed helical gears; worm gears; spiral bevel and hypoid gears. Finally, ordinary gear trains, planetary gear trains and face gear drives are discussed...This is the m978-3-030-38634-4978-3-030-38632-0Series ISSN 2195-3511 Series E-ISSN 2195-352X
47#
發(fā)表于 2025-3-29 16:58:59 | 只看該作者
48#
發(fā)表于 2025-3-29 22:28:09 | 只看該作者
hing the implicit scene model and a subsequent already assisted . to teach the task based on a particular . mode. Further results from the user study confirm that this renders kinesthetic teaching in confined spaces feasible and enables a flexible and fast reconfiguration of the robot.
49#
發(fā)表于 2025-3-30 00:04:06 | 只看該作者
Joseph K. Torgesenkes our object perception approach particularly robust even in the presence of noise, occlusions, and missing information. For grasp planning, we efficiently pre-compute possible grasps directly on the learned object models. During operation, grasps and arm motions are planned in an efficient local
50#
發(fā)表于 2025-3-30 05:48:29 | 只看該作者
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