Affective computing
The interactive museum tour-guide robot
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Interactions with a moody robot
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Humanoid robots as a passive-social medium: a field experiment at a train station
Proceedings of the ACM/IEEE international conference on Human-robot interaction
A semi-autonomous communication robot: a field trial at a train station
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Simultaneous teleoperation of multiple social robots
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Who will be the customer?: a social robot that anticipates people's behavior from their trajectories
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Robotics and Autonomous Systems
Interactive robots as social partners and peer tutors for children: a field trial
Human-Computer Interaction
An affective guide robot in a shopping mall
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Simultaneous people tracking and localization for social robots using external laser range finders
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
IEEE Transactions on Robotics
A Robust Speech Recognition System for Communication Robots in Noisy Environments
IEEE Transactions on Robotics
A pilot study to understand requirements of a shopping mall robot
Proceedings of the 6th international conference on Human-robot interaction
Cooperative social robots to accompany groups of people
International Journal of Robotics Research
Hi-index | 0.00 |
This paper reports the challenges of developing multiple social robots that operate in a shopping mall. We developed a networked robot system that coordinates multiple social robots and sensors to provide efficient service to customers. It directs the tasks of robots based on their positions and people's walking behavior, manages the paths of robots, and coordinates the conversation-performance between two robots. Laser range finders were distributed in the environment to estimate people's positions. The system estimates such human walking behaviors as "stopping" or "idle walking" to direct robots to provide appropriate tasks to appropriate people. Each robot interacts with people to provide recommendation information and route information about shops. The system sometimes simultaneously uses two robots to lead people from one place to another. The field trial, which was conducted in a shopping mall where four robots interacted with 414 people, revealed the effectiveness of the network robot system for guiding people around a shopping mall as well as increasing their interest.