Title
Robot-Robot Gesturing for Anchoring Representations.
Abstract
In a multirobot system, using shared symbols for objects in the environment is a prerequisite for collaboration. Sharing symbols requires that each agent has anchored a symbol with an internal, sensor level representation, as well as that these symbols match between the agents. The problem can be solved easily when the internal representations can be communicated between the agents. However, with heterogeneous embodiments the available sensors are likely to differ, making it impossible to share the internal representations directly. We propose the use of pointing gestures to align symbols between a heterogeneous group of robots. We describe a planning framework that minimizes the required effort for anchoring representations across robots. The framework allows planning for both the gesturing and observing agents in a decentralized fashion. It considers both implicit sources of failure, such as ambiguous pointing, as well as costs required by actions. Simulation experiments demonstrate that the resulting planning problem has a complex solution structure with multiple local minima. Demonstration with a heterogeneous two-robot system shows the practical viability of this approach.
Year
DOI
Venue
2019
10.1109/TRO.2018.2875388
IEEE Trans. Robotics
Keywords
Field
DocType
Robot kinematics,Robot sensing systems,Planning,Grounding,Tracking,Multi-robot systems
Cognitive robotics,Anchoring,Symbol,Gesture,Symbol grounding,Robot kinematics,Maxima and minima,Control engineering,Human–computer interaction,Robot,Mathematics
Journal
Volume
Issue
ISSN
35
1
1552-3098
Citations 
PageRank 
References 
1
0.35
12
Authors
5
Name
Order
Citations
PageRank
Polychronis Kondaxakis1253.17
Khurram Gulzar210.35
Stefan Kinauer310.35
Iasonas Kokkinos4252888.22
V. Kyrki565261.79