Using dialog and human observations to dictate tasks to a learning robot assistant

Author:

Rybski Paul E.,Stolarz Jeremy,Yoon Kevin,Veloso Manuela

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Mechanical Engineering,Engineering (miscellaneous),Computational Mechanics

Reference28 articles.

1. Arkin R (1987) Motor schema based navigation for a mobile robot: an approach to programming by behavior. In: Proceedings of the 1987 IEEE international conference on robotics and automation, pp 264–271

2. Bentivegna D, Atkeson C, Cheng G (2003) Learning from observation and practice at the action generation level. In: IEEE international conference on humanoid robots, Karlsruhe and Munich

3. Biermann AW, Guinn CI, Smith DRHRW (1994) Efficient collaborative discourse: a theory and its implementation. In: Proc. ARPA human language technology workshop ’93, Princeton, NJ, pp 177–182

4. Breazeal C, Hoffman G, Lockerd A (2004) Teaching and working with robots as a collaboration. In: The third international conference on autonomous agents and multi-agent systems AAMAS 2004, New York, NY, pp 1028–1035

5. Bruce J, Veloso M (2003) Fast and accurate vision-based pattern detection and identification. In: Proceedings of the 2003 IEEE international conference on robotics and automation, Taiwan

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Review of Natural-Language-Instructed Robot Execution Systems;AI;2024-06-26

2. Learning With Dual Demonstration Domains: Random Domain-Adaptive Meta-Learning;IEEE Robotics and Automation Letters;2022-04

3. A review of methodologies for natural-language-facilitated human–robot cooperation;International Journal of Advanced Robotic Systems;2019-05-01

4. Synthesizing Robot Programs with Interactive Tutor Mode;International Journal of Automation and Computing;2018-11-06

5. Online teaching of robotic arm by human–robot interaction: end effector force/torque sensing;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2018-08-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3