TY - GEN
T1 - Tell me when and why to do it!
T2 - 7th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI'12
AU - Cantrell, Rehj
AU - Talamadupula, Kartik
AU - Schermerhorn, Paul
AU - Benton, J.
AU - Kambhampati, Subbarao
AU - Scheutz, Matthias
PY - 2012
Y1 - 2012
N2 - Robots are currently being used in and developed for critical HRI applications such as search and rescue. In these scenarios, humans operating under changeable and high-stress conditions must communicate effectively with autonomous agents, necessitating that such agents be able to respond quickly and effectively to rapidly-changing conditions and expectations. We demonstrate a robot planner that is able to utilize new information, specifically information originating in spoken input produced by human operators. We show that the robot is able to learn the pre- and postconditions of previously-unknown action sequences from natural language constructions, and immediately update (1) its knowledge of the current state of the environment, and (2) its underlying world model, in order to produce new and updated plans that are consistent with this new information. While we demonstrate in detail the robot's successful operation with a specific example, we also discuss the dialogue module's inherent scalability, and investigate how well the robot is able to respond to natural language commands from untrained users.
AB - Robots are currently being used in and developed for critical HRI applications such as search and rescue. In these scenarios, humans operating under changeable and high-stress conditions must communicate effectively with autonomous agents, necessitating that such agents be able to respond quickly and effectively to rapidly-changing conditions and expectations. We demonstrate a robot planner that is able to utilize new information, specifically information originating in spoken input produced by human operators. We show that the robot is able to learn the pre- and postconditions of previously-unknown action sequences from natural language constructions, and immediately update (1) its knowledge of the current state of the environment, and (2) its underlying world model, in order to produce new and updated plans that are consistent with this new information. While we demonstrate in detail the robot's successful operation with a specific example, we also discuss the dialogue module's inherent scalability, and investigate how well the robot is able to respond to natural language commands from untrained users.
KW - enabling technologies
KW - hri communication
KW - language processing
KW - learning about the environment
KW - learning from interaction
UR - http://www.scopus.com/inward/record.url?scp=84859967055&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859967055&partnerID=8YFLogxK
U2 - 10.1145/2157689.2157840
DO - 10.1145/2157689.2157840
M3 - Conference contribution
AN - SCOPUS:84859967055
SN - 9781450310635
T3 - HRI'12 - Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction
SP - 471
EP - 478
BT - HRI'12 - Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction
Y2 - 5 March 2012 through 8 March 2012
ER -