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
A Social Robot that Stands in Line
Autonomous Robots
A Context-Dependent Attention System for a Social Robot
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Children and robots learning to play hide and seek
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Interactive robots as social partners and peer tutors for children: a field trial
Human-Computer Interaction
Real-time auditory and visual multiple-object tracking for humanoids
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Involving users in the design of a mobile office robot
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Exploring use cases for telepresence robots
Proceedings of the 6th international conference on Human-robot interaction
Supervisory control of multiple social robots for navigation
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
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We have taken steps towards developing a method that enables an interactive humanoid robot to adapt its speed to a walking human that it is moving together with. This is difficult because the human is simultaneously adapting to the robot. From a case study in human-human walking interaction we established a hypothesis about how to read a human's speed preference based on a relationship between humans' walking speed and their relative position in the direction of walking. We conducted two experiments to verify this hypothesis: one with two humans walking together, and one with a human subject walking with a humanoid robot, Robovie-IV. For 11 out of 15 subjects who walked with the robot, the results were consistent with the speed-position relationship of the hypothesis. We also conducted a preferred speed estimation experiment for six of the subjects. All of them were satisfied with one or more of the speeds that our algorithm estimated and four of them answered one of the speeds as the best one if the algorithm was allowed to give three options. In the paper, we also discuss the difficulties and possibilities that we learned from this preliminary trial.