Qualitative spatial referencing for natural human-robot interfaces
interactions - Robots!
Connecting language to the world
Artificial Intelligence - Special volume on connecting language to the world
Spatial routines for a simulated speech-controlled vehicle
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
3-D modeling of spatial referencing language for human-robot interaction
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Using vision, acoustics, and natural language for disambiguation
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Cognitive maps for mobile robots-an object based approach
Robotics and Autonomous Systems
Learning spatial concepts from RatSLAM representations
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Object schemas for responsive robotic language use
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Object schemas for grounding language in a responsive robot
Connection Science - Language and Robots
Walk the talk: connecting language, knowledge, and action in route instructions
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Using a sketch pad interface for interacting with a robot team
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Connecting language to the world
Artificial Intelligence - Special volume on connecting language to the world
Learning to follow navigational route instructions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Evaluating the augmented reality human-robot collaboration system
International Journal of Intelligent Systems Technologies and Applications
Where to go: interpreting natural directions using global inference
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Utilizing object-object and object-scene context when planning to find things
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Following directions using statistical machine translation
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Toward understanding natural language directions
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Robot-directed speech: using language to assess first-time users' conceptualizations of a robot
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
A linguistic ontology of space for natural language processing
Artificial Intelligence
End-user programming of a social robot by dialog
Robotics and Autonomous Systems
Two-handed gesture recognition and fusion with speech to command a robot
Autonomous Robots
Treemap: an O(log n) algorithm for simultaneous localization and mapping
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Toward learning perceptually grounded word meanings from unaligned parallel data
SIAC '12 Proceedings of the Second Workshop on Semantic Interpretation in an Actionable Context
Towards mediating shared perceptual basis in situated dialogue
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
On the performance evaluation of a vision-based human-robot interaction framework
Proceedings of the Workshop on Performance Metrics for Intelligent Systems
Online semantic mapping of urban environments
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
A qualitative path planner for robot navigation using human-provided maps
International Journal of Robotics Research
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In conversation, people often use spatial relationships to describe their environment, e.g., "There is a desk in front of me and a doorway behind it," and to issue directives, e.g., "go around the desk and through the doorway." In our research, we have been investigating the use of spatial relationships to establish a natural communication mechanism between people and robots, in particular, for novice users. In this paper, the work on robot spatial relationships is combined with a multimodal robot interface. We show how linguistic spatial descriptions and other spatial information can be extracted from an evidence grid map and how this information can be used in a natural, human-robot dialog. Examples using spatial language are included for both robot-to-human feedback and also human-to-robot commands. We also discuss some linguistic consequences in the semantic representations of spatial and locative information based on this work.