Position tracking and recognition of everyday objects by using sensors embedded in an environment and mounted on mobile robots

Author(s):  
Kouji Murakami ◽  
Kazuya Matsuo ◽  
Tsutomu Hasegawa ◽  
Ryo Kurazume
Robotica ◽  
2011 ◽  
Vol 30 (2) ◽  
pp. 229-244 ◽  
Author(s):  
Lei Zhang ◽  
René Zapata ◽  
Pascal Lépinay

SUMMARYIn order to achieve the autonomy of mobile robots, effective localization is a necessary prerequisite. In this paper, we propose an improved Monte Carlo localization algorithm using self-adaptive samples (abbreviated as SAMCL). By employing a pre-caching technique to reduce the online computational burden, SAMCL is more efficient than the regular MCL. Further, we define the concept of similar energy region (SER), which is a set of poses (grid cells) having similar energy with the robot in the robot space. By distributing global samples in SER instead of distributing randomly in the map, SAMCL obtains a better performance in localization. Position tracking, global localization and the kidnapped robot problem are the three sub-problems of the localization problem. Most localization approaches focus on solving one of these sub-problems. However, SAMCL solves all the three sub-problems together, thanks to self-adaptive samples that can automatically separate themselves into a global sample set and a local sample set according to needs. The validity and the efficiency of the SAMCL algorithm are demonstrated by both simulations and experiments carried out with different intentions. Extensive experimental results and comparisons are also given in this paper.


2015 ◽  
Vol 29 (3) ◽  
pp. 187-208
Author(s):  
Min-Fan Ricky Lee ◽  
Ying-Chi Li ◽  
Ming-Yen Chien

Author(s):  
Shubhdildeep S. Sohal ◽  
Wael Saab ◽  
Pinhas Ben-Tzvi

This paper presents the methodology for an improved visual tracking, intended for the autonomous control of mobile robots. We propose the cumulated use of the image processing method and positioning sensors for an improved visual tracking. The method primarily uses detection, tracking, and recognition techniques to locate the targets. The use of such methods will enable the robot to monitor the real-time continuous changes in the orientation and the alignment with respect to the target module. The proposed methodology is implemented on a subsisting genderless coupling mechanism which is integrated into a multi-directional hybrid locomotion module to test the alignment accuracy in an autonomous docking procedure. The long-term objective is to demonstrate the autonomous docking and self-reconfiguration of multiple mobile robots.


2012 ◽  
Vol 468-471 ◽  
pp. 1512-1515
Author(s):  
Qi Zhi Wang ◽  
Xiao Xia Wang

This paper presents adaptive control rules, in the dynamics level, for the nonholonomic mobile robots. Adaptive controls are derived for mobile robots, using Lyapunov stability technique, for tracking a reference trajectory and stability to a fixed posture. The presented control law can render system asymptotically stabilization at a desired target. The simulation shows it has good position tracking performance. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.


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