1 resultado para Learning Objects
em DRUM (Digital Repository at the University of Maryland)
Filtro por publicador
- JISC Information Environment Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Applied Math and Science Education Repository - Washington - USA (35)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (4)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (4)
- Boston University Digital Common (12)
- Brock University, Canada (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (8)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (11)
- CentAUR: Central Archive University of Reading - UK (21)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (1)
- Cochin University of Science & Technology (CUSAT), India (1)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (30)
- Digital Peer Publishing (4)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (1)
- Funes: Repositorio digital de documentos en Educación Matemática - Colombia (1)
- Helda - Digital Repository of University of Helsinki (3)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (1)
- Instituto Politécnico do Porto, Portugal (10)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (7)
- Ministerio de Cultura, Spain (11)
- National Center for Biotechnology Information - NCBI (1)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (1)
- Queensland University of Technology - ePrints Archive (678)
- RDBU - Repositório Digital da Biblioteca da Unisinos (10)
- Repositorio de la Universidad de Cuenca (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (4)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (2)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (28)
- Repositorio Institucional Universidad de Medellín (1)
- Research Open Access Repository of the University of East London. (1)
- Royal College of Art Research Repository - Uninet Kingdom (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo Uruguai (1)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (13)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (1)
- University of Connecticut - USA (1)
- University of Queensland eSpace - Australia (2)
- University of Southampton, United Kingdom (9)
- University of Washington (3)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (2)
Resumo:
As robot imitation learning is beginning to replace conventional hand-coded approaches in programming robot behaviors, much work is focusing on learning from the actions of demonstrators. We hypothesize that in many situations, procedural tasks can be learned more effectively by observing object behaviors while completely ignoring the demonstrator's motions. To support studying this hypothesis and robot imitation learning in general, we built a software system named SMILE that is a simulated 3D environment. In this virtual environment, both a simulated robot and a user-controlled demonstrator can manipulate various objects on a tabletop. The demonstrator is not embodied in SMILE, and therefore a recorded demonstration appears as if the objects move on their own. In addition to recording demonstrations, SMILE also allows programing the simulated robot via Matlab scripts, as well as creating highly customizable objects for task scenarios via XML. This report describes the features and usages of SMILE.