000 | 03454nam a22005535i 4500 | ||
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001 | 978-3-642-33241-8 | ||
003 | DE-He213 | ||
005 | 20200421111849.0 | ||
007 | cr nn 008mamaa | ||
008 | 121009s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642332418 _9978-3-642-33241-8 |
||
024 | 7 |
_a10.1007/978-3-642-33241-8 _2doi |
|
050 | 4 | _aTJ210.2-211.495 | |
050 | 4 | _aT59.5 | |
072 | 7 |
_aTJFM1 _2bicssc |
|
072 | 7 |
_aTEC037000 _2bisacsh |
|
072 | 7 |
_aTEC004000 _2bisacsh |
|
082 | 0 | 4 |
_a629.892 _223 |
100 | 1 |
_aPrats, Mario. _eauthor. |
|
245 | 1 | 0 |
_aRobot Physical Interaction through the combination of Vision, Tactile and Force Feedback _h[electronic resource] : _bApplications to Assistive Robotics / _cby Mario Prats, �Angel P. del Pobil, Pedro J. Sanz. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aXVIII, 178 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringer Tracts in Advanced Robotics, _x1610-7438 ; _v84 |
|
505 | 0 | _aPart I -- Part -II -- Part- III. | |
520 | _aRobot manipulation is a great challenge; it encompasses versatility -adaptation to different situations-, autonomy -independent robot operation-, and dependability -for success under modeling or sensing errors. A complete manipulation task involves, first, a suitable grasp or contact configuration, and the subsequent motion required by the task. This monograph presents a unified framework by introducing task-related aspects into the knowledge-based grasp concept, leading to task-oriented grasps. Similarly, grasp-related issues are also considered during the execution of a task, leading to grasp-oriented tasks which is called framework for physical interaction (FPI). The book presents the theoretical framework for the versatile specification of physical interaction tasks, as well as the problem of autonomous planning of these tasks. A further focus is on sensor-based dependable execution combining three different types of sensors: force, vision and tactile. The FPI approach allows to perform a wide range of robot manipulation tasks. All contributions are validated with several experiments using different real robots placed on household environments; for instance, a high-DoF humanoid robot can successfully operate unmodeled mechanisms with widely varying structure in a general way with natural motions. This research was recipient of the European Georges Giralt Award and the Robotdalen Scientific Award Honorary Mention.    . | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aUser interfaces (Computer systems). | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aAutomation. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aRobotics and Automation. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aUser Interfaces and Human Computer Interaction. |
700 | 1 |
_aPobil, �Angel P. del. _eauthor. |
|
700 | 1 |
_aSanz, Pedro J. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642332401 |
830 | 0 |
_aSpringer Tracts in Advanced Robotics, _x1610-7438 ; _v84 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-33241-8 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c55988 _d55988 |