MINERVA: a second-generation museum tour-guide robot

This paper describes an interactive tour-guide robot, which was successfully exhibited in a Smithsonian museum. During its two weeks of operation, the robot interacted with thousands of people, traversing more than 44 km at speeds of up to 163 cm/sec. Our approach specifically addresses issues such as safe navigation in unmodified and dynamic environments, and short-term human-robot interaction. It uses learning pervasively at all levels of the software architecture.

[1]  R. Bellman,et al.  Dynamic Programming and Markov Processes , 1960 .

[2]  Hans P. Moravec.  Sensor Fusion in Certainty Grids for Mobile Robots , 1988, AI Mag..

[3]  Alberto Elfes,et al.  Occupancy grids: a probabilistic framework for robot perception and navigation , 1989 .

[4]  Drew McDermott,et al.  A reactive plan language , 1991 .

[5]  Christopher G. Atkeson,et al.  Using locally weighted regression for robot learning , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[6]  Jean-Claude Latombe,et al.  Robot motion planning , 1970, The Kluwer international series in engineering and computer science.

[7]  Ian Horswill,et al.  Specialization of perceptual processes , 1993 .

[8]  Reid G. Simmons,et al.  Probabilistic Robot Navigation in Partially Observable Environments , 1995, IJCAI.

[9]  Michael J. Swain,et al.  Gesture recognition using the Perseus architecture , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[10]  Wolfram Burgard,et al.  Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids , 1996, AAAI/IAAI, Vol. 2.

[11]  Liqiang Feng,et al.  Navigating Mobile Robots: Systems and Techniques , 1996 .

[12]  Leslie Pack Kaelbling,et al.  Acting under uncertainty: discrete Bayesian models for mobile-robot navigation , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

[13]  David Kortenkamp,et al.  Recognizing and Interpreting Gestures on a Mobile Robot , 1996, AAAI/IAAI, Vol. 2.

[14]  Satoru Hayamizu,et al.  Socially Embedded Learning of the Office-Conversant Mobil Robot Jijo-2 , 1997, IJCAI.

[15]  Wolfram Burgard,et al.  The dynamic window approach to collision avoidance , 1997, IEEE Robotics Autom. Mag..

[16]  Wolfram Burgard,et al.  Integrating active localization into high-level robot control systems , 1998, Robotics Auton. Syst..

[17]  Wolfram Burgard,et al.  Position Estimation for Mobile Robots in Dynamic Environments , 1998, AAAI/IAAI.

[18]  Cynthia Breazeal,et al.  A Motivational System for Regulating Human-Robot Interaction , 1998, AAAI/IAAI.

[19]  BurgardWolfram,et al.  A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots , 1998 .

[20]  Wolfram Burgard,et al.  The Interactive Museum Tour-Guide Robot , 1998, AAAI/IAAI.

[21]  Sebastian Thrun,et al.  Learning Metric-Topological Maps for Indoor Mobile Robot Navigation , 1998, Artif. Intell..

[22]  Wolfram Burgard,et al.  GOLEX - Bridging the Gap between Logic (GOLOG) and a Real Robot , 1998, KI.

[23]  Illah R. Nourbakhsh.  The failures of a self-reliant tour robot with no planner , 1998 .

[24]  Wolfram Burgard,et al.  A hybrid collision avoidance method for mobile robots , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[25]  S. Thrun,et al.  Mosaicing a Large Number of Widely Dispersed, Noisy, and Distorted Images: A Bayesian Approach , 1999 .

[26]  Sebastian Thrun,et al.  Spontaneous, short-term interaction with mobile robots , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[27]  Wolfram Burgard,et al.  Experiences with an Interactive Museum Tour-Guide Robot , 1999, Artif. Intell..