Natural Language Direction Following for Robots in Unstructured Unknown Environments
@inproceedings{Duvallet2015NaturalLD,
title={Natural Language Direction Following for Robots in Unstructured Unknown Environments},
author={Felix Duvallet},
year={2015}
}Abstract : Robots are increasingly performing collaborative tasks with people in homes, workplaces, and outdoors, and with this increase in interaction comes a need for e cient communication between human and robot teammates. One way to achieve this communication is through natural language, which provides a exible and intuitive way to issue commands to robots without requiring specialized interfaces or extensive user training. One task where natural language understanding could facilitate… CONTINUE READING
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References
SHOWING 1-10 OF 186 REFERENCES
Imitation learning for natural language direction following through unknown environments
- Computer Science
- 2013 IEEE International Conference on Robotics and Automation
- 2013
- 49
- PDF
Inferring Maps and Behaviors from Natural Language Instructions
- Computer Science, Engineering
- ISER
- 2014
- 60
- PDF
Learning models for following natural language directions in unknown environments
- Computer Science
- 2015 IEEE International Conference on Robotics and Automation (ICRA)
- 2015
- 75
- PDF
Toward Information Theoretic Human-Robot Dialog
- Computer Science
- Robotics: Science and Systems
- 2012
- 71
- PDF
Natural language command of an autonomous micro-air vehicle
- Computer Science
- 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
- 2010
- 43
- PDF
Interactive robot task training through dialog and demonstration
- Computer Science
- 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI)
- 2007
- 127
- PDF
Learning to understand spatial language for robotic navigation and mobile manipulation
- Computer Science
- 2011
- 4
A natural language planner interface for mobile manipulators
- Computer Science
- 2014 IEEE International Conference on Robotics and Automation (ICRA)
- 2014
- 91
- PDF