| LDR | | 01547nmm uu200397 4500 |
| 001 | | 000000331476 |
| 005 | | 20240805164446 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438348042 |
| 035 | |
▼a (MiAaPQ)AAI10928389 |
| 035 | |
▼a (MiAaPQ)cornellgrad:11061 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 629.8 |
| 100 | 1 |
▼a Daudelin, Jonathan.
▼0 (orcid)0000-0002-5572-7245 |
| 245 | 10 |
▼a Active Perception and Planning for Modular Self-Reconfigurable Robots. |
| 260 | |
▼a [S.l.] :
▼b Cornell University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 121 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B. |
| 500 | |
▼a Adviser: Mark E. Campbell. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Cornell University, 2018. |
| 520 | |
▼a Modular robots have the unique ability to reconfigure their shape and capabilities to adapt to various challenges in the environment. In order to perform tasks autonomously in unknown environments, active perception and planning algorithms are r |
| 590 | |
▼a School code: 0058. |
| 650 | 4 |
▼a Robotics. |
| 650 | 4 |
▼a Computer science. |
| 690 | |
▼a 0771 |
| 690 | |
▼a 0984 |
| 710 | 20 |
▼a Cornell University.
▼b Mechanical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-02B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0058 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000895
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |