Stefanie Tellex
Affiliations: | Computer Science | Brown University, Providence, RI |
Area:
Artificial Intelligence, Machine Learning, RoboticsGoogle:
"Stefanie Tellex"Cross-listing: Robotree
Parents
Sign in to add mentorDeb Roy | grad student | MIT (LinguisTree) | |
Nicholas G. Roy | post-doc | MIT (Neurotree) |
Children
Sign in to add traineeKaiyu Zheng | grad student | 2018- | Brown (Robotree) |
David Whitney | grad student | 2019 | Brown (Robotree) |
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Publications
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Oh Y, Patel R, Nguyen T, et al. (2022) Hierarchical planning with state abstractions for temporal task specifications. Autonomous Robots. 1-17 |
Rosen E, Whitney D, Phillips E, et al. (2019) Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays The International Journal of Robotics Research. 38: 1513-1526 |
Arumugam D, Karamcheti S, Gopalan N, et al. (2019) Grounding natural language instructions to semantic goal representations for abstraction and generalization Autonomous Robots. 43: 449-468 |
Oberlin J, Tellex S. (2015) Learning to pick up objects through active exploration 5th Joint International Conference On Development and Learning and Epigenetic Robotics, Icdl-Epirob 2015. 252-253 |
Knepper RA, Tellex S, Li A, et al. (2015) Recovering from failure by asking for help Autonomous Robots |
Walter MR, Antone M, Chuangsuwanich E, et al. (2015) A Situationally aware voice-commandable robotic forklift working alongside people in unstructured outdoor environments Journal of Field Robotics. 32: 590-628 |
Alum K, Tellex S, Oberlin J, et al. (2015) Minecraft as an experimental world for AI in robotics Aaai Fall Symposium - Technical Report. 5-12 |
Abel D, Hershkowitz DE, Barth-Maron G, et al. (2015) Goal-based action priors Proceedings International Conference On Automated Planning and Scheduling, Icaps. 2015: 306-314 |
Wu E, Han Y, Whitney D, et al. (2015) Robotic social feedback for object specification Aaai Fall Symposium - Technical Report. 150-157 |
Walter MR, Hemachandra S, Homberg B, et al. (2014) A framework for learning semantic maps from grounded natural language descriptions International Journal of Robotics Research. 33: 1167-1190 |