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This paper presents a visual based localization mechanism for a legged robot. Our proposal, fundamented on a probabilistic approach, uses a precompiled topological map where natural landmarks like doors or ceiling lights are recognized by the robot using its on-board camera. Experiments have been conducted using the AIBO Sony robotic dog showing that it is able to deal with noisy sensors like vision and to approximate world models representing indoor ofce environments. The two major contributions of this work are the use of this technique in legged robots, and the use of an active camera as the main sensor
標簽： localization mechanism presents proposal
上傳時間： 2016-11-04
上傳用戶：dianxin61
windows ce 5.0+s3c2440平臺 wifi usb接口驅動調試
上傳時間： 2016-11-05
上傳用戶：xc216
-- Simple Robot Control Program -------------------------------------------------------------------------- -- Left is left IR sensor - 1=object to left -- Right is rigth IR sensor - 1=object to right -- Lmotor_dir 1=forward 0=reverse -- Rmotor_dir 1=forward 0=reverse -- Lmotor_speed 111=fast 000=slow -- Rmotor_speed 111=fast 000=slow
標簽： Control Program Simple Robot
上傳時間： 2013-11-27
上傳用戶：風之驕子
-- Simple Robot Control Program -------------------------------------------------------------------------- library IEEE use IEEE.STD_LOGIC_1164.all use IEEE.STD_LOGIC_ARITH.all use IEEE.STD_LOGIC_UNSIGNED.all
標簽： Control Program Simple Robot
上傳時間： 2014-12-22
上傳用戶：wcl168881111111
不錯的wifi轉接參考設計 可以做rs232 usb 等轉wifi
上傳時間： 2014-01-19
上傳用戶：cc1015285075
WiFi技術的原理及未來發展趨勢 ppt
上傳時間： 2016-11-21
上傳用戶：aappkkee
WIFI 對于想了解WIFI的朋友,可以參考一下
標簽： WIFI
上傳時間： 2014-01-22
上傳用戶：BIBI
This approach addresses two difficulties simultaneously: 1) the range limitation of mobile robot sensors and 2) the difficulty of detecting buildings in monocular aerial images. With the suggested method building outlines can be detected faster than the mobile robot can explore the area by itself, giving the robot an ability to “see” around corners. At the same time, the approach can compensate for the absence of elevation data in segmentation of aerial images. Our experiments demonstrate that ground-level semantic information (wall estimates) allows to focus the segmentation of the aerial image to find buildings and produce a ground-level semantic map that covers a larger area than can be built using the onboard sensors.
標簽： simultaneously difficulties limitation addresses
上傳時間： 2014-06-11
上傳用戶：waitingfy
Extended Kalman Filter for robot localization, mapping, SLAM. Matlab 仿真機器人應用擴展卡爾曼濾波器localization, mapping, SLAM.
標簽： localization Extended mapping Kalman
上傳時間： 2013-12-27
上傳用戶：gtzj
wifi方面的論文，國外IEEE論文，閱讀您的文件包然后寫出其具體功能
上傳時間： 2016-12-02
上傳用戶：13188549192
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