LEADER 01714oam 2200505zu 450 001 996212474403316 005 20210807003358.0 010 $a0-7803-4210-0 035 $a(CKB)111026746720558 035 $a(SSID)ssj0000455199 035 $a(PQKBManifestationID)12150313 035 $a(PQKBTitleCode)TC0000455199 035 $a(PQKBWorkID)10399569 035 $a(PQKB)10788202 035 $a(EXLCZ)99111026746720558 100 $a20160829d1997 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aProceedings 210 31$a[Place of publication not identified]$cThe Conference$d1997 300 $aBibliographic Level Mode of Issuance: Monograph 517 $aInternational Test Conference 1997 531 $aitc 531 $aPROCEEDINGS 606 $aIntegrated circuits$xCongresses$xTesting 606 $aElectronic digital computers$xTesting$xCongresses$xCircuits 606 $aElectrical & Computer Engineering$2HILCC 606 $aElectrical Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 615 0$aIntegrated circuits$xCongresses$xTesting 615 0$aElectronic digital computers$xTesting$xCongresses$xCircuits 615 7$aElectrical & Computer Engineering 615 7$aElectrical Engineering 615 7$aEngineering & Applied Sciences 676 $a621.3815/48 712 02$aIEEE Computer Society Test Technology Technical Committee 712 02$aInstitute of Electrical and Electronics Engineers Philadelphia Section. 712 12$aInternational Test Conference 801 0$bPQKB 906 $aPROCEEDING 912 $a996212474403316 996 $aProceedings$957126 997 $aUNISA LEADER 02504nam 2200361 450 001 9910598005303321 005 20230220101238.0 035 $a(CKB)4920000000095224 035 $a(NjHacI)994920000000095224 035 $a(EXLCZ)994920000000095224 100 $a20230220d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBio-Inspired Robotics /$fToshio Fukuda, Fei Chen, Qing Shi 210 1$aBasel :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2018. 215 $a1 online resource (554 pages) 311 $a3-03897-045-X 330 $aModern robotic technologies have enabled robots to operate in a variety of unstructured and dynamically-changing environments, in addition to traditional structured environments. Robots have, thus, become an important element in our everyday lives. One key approach to develop such intelligent and autonomous robots is to draw inspiration from biological systems. Biological structure, mechanisms, and underlying principles have the potential to provide new ideas to support the improvement of conventional robotic designs and control. Such biological principles usually originate from animal or even plant models, for robots, which can sense, think, walk, swim, crawl, jump or even fly. Thus, it is believed that these bio-inspired methods are becoming increasingly important in the face of complex applications. Bio-inspired robotics is leading to the study of innovative structures and computing with sensory-motor coordination and learning to achieve intelligence, flexibility, stability, and adaptation for emergent robotic applications, such as manipulation, learning, and control. This Special Issue invites original papers of innovative ideas and concepts, new discoveries and improvements, and novel applications and business models relevant to the selected topics of ``Bio-Inspired Robotics''. Bio-Inspired Robotics is a broad topic and an ongoing expanding field. This Special Issue collates 30 papers that address some of the important challenges and opportunities in this broad and expanding field. 606 $aRobotics 615 0$aRobotics. 676 $a629.892 700 $aFukuda$b Toshio$046541 702 $aChen$b Fei 702 $aShi$b Qing 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910598005303321 996 $aBio-Inspired Robotics$93013091 997 $aUNINA