Cognitive Robotics and Adaptive Behaviors / / Maki K. Habib, editor.
The development and use of robotics is affecting all aspects of modern life. There is a demand not only for robots that can move, interact, learn, and act in real-time dynamic and unconstrained environments but also for those that can interact smoothly and safely with the actions and movements of pe...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | London : : IntechOpen,, 2022. |
Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 online resource (134 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993603612004498 |
---|---|
ctrlnum |
(CKB)5580000000514447 (NjHacI)995580000000514447 (EXLCZ)995580000000514447 |
collection |
bib_alma |
record_format |
marc |
spelling |
Cognitive Robotics and Adaptive Behaviors / Maki K. Habib, editor. London : IntechOpen, 2022. 1 online resource (134 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on publisher supplied metadata and other sources. The development and use of robotics is affecting all aspects of modern life. There is a demand not only for robots that can move, interact, learn, and act in real-time dynamic and unconstrained environments but also for those that can interact smoothly and safely with the actions and movements of people within the same environments. In addition to managing complex motor coordination, these robots also require the ability to acquire and represent knowledge, deal with uncertainty at different operational levels, learn, reason, adapt, and have the autonomy to make intelligent decisions and act upon them. They should be able to learn from interaction, anticipate the outcomes of actions, acquire experiences and use them as required for future activities. Cognitive robotics is the interdisciplinary term used to describe robots that merge all these features and capabilities in their hardware and software architectures. 1. The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challengesh 46 -- 2. Learning Robotic Ultrasound Skills from Human Demonstrations 60 -- 3. Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration 53 -- 4. An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building 50 -- 5. A Robotics-Based Machine Learning Approach for Fall Detection of People 25. Artificial intelligence Engineering applications. Autonomous robots. 1-80355-389-8 Habib, Maki K., editor. |
language |
English |
format |
eBook |
author2 |
Habib, Maki K., |
author_facet |
Habib, Maki K., |
author2_variant |
m k h mk mkh |
author2_role |
TeilnehmendeR |
title |
Cognitive Robotics and Adaptive Behaviors / |
spellingShingle |
Cognitive Robotics and Adaptive Behaviors / 1. The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challengesh 46 -- 2. Learning Robotic Ultrasound Skills from Human Demonstrations 60 -- 3. Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration 53 -- 4. An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building 50 -- 5. A Robotics-Based Machine Learning Approach for Fall Detection of People 25. |
title_full |
Cognitive Robotics and Adaptive Behaviors / Maki K. Habib, editor. |
title_fullStr |
Cognitive Robotics and Adaptive Behaviors / Maki K. Habib, editor. |
title_full_unstemmed |
Cognitive Robotics and Adaptive Behaviors / Maki K. Habib, editor. |
title_auth |
Cognitive Robotics and Adaptive Behaviors / |
title_new |
Cognitive Robotics and Adaptive Behaviors / |
title_sort |
cognitive robotics and adaptive behaviors / |
publisher |
IntechOpen, |
publishDate |
2022 |
physical |
1 online resource (134 pages) |
contents |
1. The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challengesh 46 -- 2. Learning Robotic Ultrasound Skills from Human Demonstrations 60 -- 3. Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration 53 -- 4. An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building 50 -- 5. A Robotics-Based Machine Learning Approach for Fall Detection of People 25. |
isbn |
1-80355-389-8 |
callnumber-first |
G - Geography, Anthropology, Recreation |
callnumber-subject |
GE - Environmental Sciences |
callnumber-label |
GE45 |
callnumber-sort |
GE 245 D37 C646 42022 |
illustrated |
Not Illustrated |
dewey-hundreds |
300 - Social sciences |
dewey-tens |
360 - Social problems & social services |
dewey-ones |
363 - Other social problems & services |
dewey-full |
363.700285 |
dewey-sort |
3363.700285 |
dewey-raw |
363.700285 |
dewey-search |
363.700285 |
work_keys_str_mv |
AT habibmakik cognitiveroboticsandadaptivebehaviors |
status_str |
n |
ids_txt_mv |
(CKB)5580000000514447 (NjHacI)995580000000514447 (EXLCZ)995580000000514447 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Cognitive Robotics and Adaptive Behaviors / |
author2_original_writing_str_mv |
noLinkedField |
_version_ |
1796653241779355648 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02322nam a2200301 i 4500</leader><controlfield tag="001">993603612004498</controlfield><controlfield tag="005">20230626030341.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">230626s2022 enk o 000 0 eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5580000000514447</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)995580000000514447</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995580000000514447</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">GE45.D37</subfield><subfield code="b">.C646 2022</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">363.700285</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Cognitive Robotics and Adaptive Behaviors /</subfield><subfield code="c">Maki K. Habib, editor.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London :</subfield><subfield code="b">IntechOpen,</subfield><subfield code="c">2022.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (134 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The development and use of robotics is affecting all aspects of modern life. There is a demand not only for robots that can move, interact, learn, and act in real-time dynamic and unconstrained environments but also for those that can interact smoothly and safely with the actions and movements of people within the same environments. In addition to managing complex motor coordination, these robots also require the ability to acquire and represent knowledge, deal with uncertainty at different operational levels, learn, reason, adapt, and have the autonomy to make intelligent decisions and act upon them. They should be able to learn from interaction, anticipate the outcomes of actions, acquire experiences and use them as required for future activities. Cognitive robotics is the interdisciplinary term used to describe robots that merge all these features and capabilities in their hardware and software architectures.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">1. The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challengesh 46 -- 2. Learning Robotic Ultrasound Skills from Human Demonstrations 60 -- 3. Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration 53 -- 4. An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building 50 -- 5. A Robotics-Based Machine Learning Approach for Fall Detection of People 25.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Engineering applications.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Autonomous robots.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">1-80355-389-8</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Habib, Maki K.,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-07-06 03:00:47 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2023-02-11 21:29:23 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5343025430004498&Force_direct=true</subfield><subfield code="Z">5343025430004498</subfield><subfield code="b">Available</subfield><subfield code="8">5343025430004498</subfield></datafield></record></collection> |