FEATURE-BASED VISUAL SERVOING OF ROBOTIC SYSTEMS

Author(s):  
JOHN T. FEDDEMA ◽  
C. S. GEORGE LEE ◽  
O. ROBERT MITCHELL
2021 ◽  
pp. 1-36
Author(s):  
Shubhdildeep S. Sohal ◽  
Bijo Sebastian ◽  
Pinhas Ben-Tzvi

Abstract This paper presents a self-reconfigurable modular robot with an integrated 2-DOF active docking mechanism. Active docking in modular robotic systems has received a lot of interest recently as it allows small versatile robotic systems to coalesce and achieve the structural benefits of large systems. This feature enables reconfigurable modular robotic systems to bridge the gap between small agile systems and larger robotic systems. The proposed self-reconfigurable mobile robot design exhibits dual mobility using a tracked drive mechanism for longitudinal locomotion and a wheeled drive mechanism for lateral locomotion. The 2-DOF docking interface allows for efficient docking while tolerating misalignments. To aid autonomous docking, visual marker-based tracking is used to detect and re-position the source robot relative to the target robot. The tracked features are then used in Image-Based Visual Servoing to bring the robots close enough for the docking procedure. The hybrid-tracking algorithm allows eliminating external pixelated noise in the image plane resulting in higher tracking accuracy along with faster frame update on a low-cost onboard computational device. This paper presents the overall mechanical design and the integration details of the modular robotic module with the docking mechanism. An overview of the autonomous tracking and docking algorithm is presented along-with a proof-of-concept real world demonstration of the autonomous docking and self-reconfigurability. Experimental results to validate the robustness of the proposed tracking method, as well as the reliability of the autonomous docking procedure, are also presented.


2000 ◽  
Vol 33 (17) ◽  
pp. 1241-1246
Author(s):  
Rafael Kelly ◽  
Jesús Favela ◽  
Juan M. Ibarra ◽  
Danilo Bassi

2020 ◽  
Vol 17 (2) ◽  
pp. 215-228 ◽  
Author(s):  
Bin Luo ◽  
Haoyao Chen ◽  
Fengyu Quan ◽  
Shiwu Zhang ◽  
Yunhui Liu

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