Monte Carlo localization: efficient position estimation for mobile robots
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Robust Monte Carlo localization for mobile robots
Artificial Intelligence
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ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
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BCS-HCI '08 Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction - Volume 1
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To have a robot at home might be great fun: it could fetch and carry things. However it remains open how to teach the robot the places it should go to in a manner that is cheap and entertaining for the user. This paper presents an easy-to-use interface that takes the robot on a virtual leash: using the Nintendo Wii remote the user can go towards target places while pointing at the robot. Using the inbuilt infrared camera and accelerometers and a couple of LEDs on the robot, the robot will follow the user. We show how a particle filter and an interacting multiple model (IMM) Kalman can be configured such that simple hand gestures with the Wii make the robot follow the user's intention. The concept has been implemented on a mobile robot developed within the robotshome project. The robot leash interface has been tested with 12 volunteers who are interested in new technology but have never controlled a robot. The result is that most users could within a few minutes show the robot the first three places in a home environment. Given the little cost of the interface (about $ 50) the proposed robot leash is a promising human robot interface.