| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000434488 |
| 005 | | 20200226151727 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781392658918 |
| 035 | |
▼a (MiAaPQ)AAI22619998 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 629.8 |
| 100 | 1 |
▼a Huang, Sandy H. |
| 245 | 10 |
▼a Optimizing for Robot Transparency. |
| 260 | |
▼a [S.l.]:
▼b University of California, Berkeley.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 135 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-06, Section: B. |
| 500 | |
▼a Advisor: Dragan, Anca D |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, Berkeley, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 520 | |
▼a As robots become more capable and commonplace, it becomes increasingly important that they are transparent to humans. People need to have accurate mental models of a robot, so that they can anticipate what it will do, know when and where not to rely it, and understand why it failed. This helps engineers ensure safety and robustness of the robot systems they develop, and enables human end-users to interact more safely and seamlessly with robots.This thesis introduces a framework for producing robot behavior that increases transparency. Our key insight is that a robot's actions do not just influence the physical world |
| 590 | |
▼a School code: 0028. |
| 650 | 4 |
▼a Robotics. |
| 690 | |
▼a 0771 |
| 710 | 20 |
▼a University of California, Berkeley.
▼b Electrical Engineering & Computer Sciences. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-06B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0028 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493677
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |