ACM Home Page
Please provide us with feedback. Feedback
A semi-autonomous communication robot: a field trial at a train station
Full text PdfPdf (982 KB)
Source
ACM/IEEE International Conference on Human-Robot Interaction archive
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction table of contents
Amsterdam, The Netherlands
SESSION: Technical papers table of contents
Pages 303-310  
Year of Publication: 2008
ISBN:978-1-60558-017-3
Authors
Masahiro Shiomi  ATR-IRC, Kyoto, Keihanna Science City, Japan
Daisuke Sakamoto  Hakodate Future University and ATR-IRC, Hokkaido and Kyoto, Japan
Kanda Takayuki  ATR-IRC, Kyoto, Keihanna Science City, Japan
Carlos Toshinori Ishi  ATR-IRC, Kyoto, Keihanna Science City, Japan
Hiroshi Ishiguro  Osaka University and ATR-IRC, Osaka and Kyoto, Japan
Norihiro Hagita  ATR-IRC, Kyoto, Keihanna Science City, Japan
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 20,   Downloads (12 Months): 102,   Citation Count: 3
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1349822.1349862
What is a DOI?

ABSTRACT

This paper reports an initial field trial with a prototype of a semiautonomous communication robot at a train station. We developed an operator-requesting mechanism to achieve semiautonomous operation for a communication robot functioning in real environments. The operator-requesting mechanism autonomously detects situations that the robot cannot handle by itself; a human operator helps by assuming control of the robot.

This approach gives semi-autonomous robots the ability to function naturally with minimum human effort. Our system consists of a humanoid robot and ubiquitous sensors. The robot has such basic communicative behaviors as greeting and route guidance. The experimental results revealed that the operator-requesting mechanism correctly requested operator's help in 85% of the necessary situations; the operator only had to control 25% of the experiment time in the semi-autonomous mode with a robot system that successfully guided 68% of the passengers. At the same time, this trial provided the opportunity to gather user data for the further development of natural behaviors for such robots operating in real environments.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
K. Nakadai et al.: "Real-Time Auditory and Visual Multiple-Object Tracking for Robots," Proc. Int. Joint Conf. on Artificial Intelligence, pp. 1425--1432, 2001.
 
3
O. Sugiyama et al.: "Three-layered Draw-Attention Model for Humanoid Robots with Gestures and Verbal Cues," IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 2140--2145, 2005.
 
4
K. Nakadai et al: "Applying Scattering Theory to Robot Audition System," IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 1147--1152, 2003.
 
5
S. Koizumi et al.: "Preliminary Field Trial for Tele-operated Communication Robots," IEEE International Workshop on Robot and Human Communication (ROMAN2006), 2006.
 
6
D. A. Norman: Emotional Design, Basic Books, 2003.
 
7
T. Kanda, H. Ishiguro, M. Imai, and T.Ono: "Development and Evaluation of Interactive Humanoid Robots," Proceedings of the IEEE, Vol. 92, No. 11, pp. 1839--1850, 2004.
 
8
T. Kanda, T. Hirano, D. Eaton, and H. Ishiguro: "Interactive Robots as Social Partners and Peer Tutors for Children: A Field Trial," Human Computer Interaction, Vol. 19, No. 1-2, pp. 61--84, 2004.
 
9
 
10
R. Siegwart et al.: "Robox at Expo.02: A Large Scale Installation of Personal Robots," Robotics and Autonomous Systems, 42, 203--222, 2003.
11
 
12
D. Dahlback, A. Jonsson, and L. Ahrenberg: "Wizard of Oz studies - why and how, Knowledge-based systems," Vol. 6, No. 4, pp. 258--266, 1993.
 
13
 
14
S. Woods et al.: "Comparing Human Robot Interaction Scenarios Using Live and Video Based Methods," Towards a Novel Methodological Approach, Int. Workshop on Advanced Motion Control, 2006.
 
15
A. Green et al.: "Applying the Wizard-of-Oz Framework to Cooperative Service Discovery and Configuration," Proc. IEEE Int. Workshop on Robot and Human Interactive Communication, 2004.
 
16
N. E. Sian et al.: "Whole Body Teleoperation of a Humanoid Robot Integrating Operator's Intention and Robot's Autonomy," IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS2003), pp. 1651--1656, 2003.
17
 
18
 
19
J. W. Crandall and M. A. Goodrich: "Characterizing efficiency of human robot interaction: a case study of shared-control teleoperation," IEEE/RSJ International Conference on Intelligent Robots and System, pp. 1290--1295, 2002.
 
20
B. Sellner, F. W. Heger, L. M. Hiatt, R. Simmons, and S. Singh: "Coordinated Multi-Agent Teams and Sliding Autonomy for Large-Scale Assembly," Proceedings of the IEEE, Vol. 94, No. 7, July 2006.
 
21
C. T. Ishi et al: "Robust speech recognition system for communication robots in real environments," IEEE International Conference on Humanoid Robots, 2006.
 
22
T. Kooijmans, T. Kanda, C. Bartneck, H. Ishiguro, and N. Hagita: "Accelerating Robot Development through Integral Analysis of Human-Robot Interaction," IEEE Transactions on Robotics, 2007 (to appear).


Collaborative Colleagues:
Masahiro Shiomi: colleagues
Daisuke Sakamoto: colleagues
Kanda Takayuki: colleagues
Carlos Toshinori Ishi: colleagues
Hiroshi Ishiguro: colleagues
Norihiro Hagita: colleagues