Non-Prehensile Cooperative Object Transportation with Omnidirectional Mobile Robots: Organization, Control, Simulation, and Experimentation

Author(s):  
Henrik Ebel ◽  
Peter Eberhard
2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Takuya Sakuyama ◽  
Jorge David Figueroa Heredia ◽  
Taiki Ogata ◽  
Tatsunori Hara ◽  
Jun Ota

This paper proposes a methodology by which two small mobile robots can grasp, lift, and transport large objects using hand carts. The specific problems involve generating robot actions and determining the hand cart positions to achieve the stable loading of objects onto the carts. These problems are solved using nonlinear optimization, and we propose an algorithm for generating robot actions. The proposed method was verified through simulations and experiments using actual devices in a real environment. The proposed method could reduce the number of robots required to transport large objects with 50–60%. In addition, we demonstrated the efficacy of this task in real environments where errors occur in robot sensing and movement.


2007 ◽  
Vol 2007 (0) ◽  
pp. _1A1-C06_1-_1A1-C06_4
Author(s):  
Shenglong WU ◽  
Eijiro TAKEUCHI ◽  
Takashi TSUBOUCHI ◽  
Eiji KOYANAGI

Author(s):  
Tyson L. Ringold ◽  
Raymond J. Cipra

Object transportation is an especially suitable task for cooperative mobile robots where the carrying capacity of an individual robot is naturally limited. In this work, a unique wheeled robot is presented that, when used in homogeneous teams, is able to lift and carry objects which may be significantly larger than the robot itself. A key feature of the presented robot is that it is devoid of articulated manipulation mechanisms, but instead relies on its drive wheels for object interaction. After a brief introduction to the mechanics of this mobile robot, a behavior-based lifting and carrying strategy is developed that allows the robot to cooperatively raise an object from the ground, transition into a carrying role, and then transport the object across cluttered, unstructured terrain. The strategy is inherently decentralized, allowing an arbitrary number of robots to participate in the transportation task. Dynamic simulation results are then presented, showing the effectiveness of the strategy.


2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Fusao Ohashi ◽  
Kohei Kaminishi ◽  
Jorge David Figueroa Heredia ◽  
Hiroki Kato ◽  
Taiki Ogata ◽  
...  

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