scholarly journals Decentralized Nonlinear MPC for Robust Cooperative Manipulation by Heterogeneous Aerial-Ground Robots

Author(s):  
Nicola Lissandrini ◽  
Christos K. Verginis ◽  
Pedro Roque ◽  
Angelo Cenedese ◽  
Dimos V. Dimarogonas

Author(s):  
H Liu ◽  
J S Dai ◽  
H Y Xu ◽  
H Li

This paper proposes a new approach for analysing cooperative manipulation in which cooperative manipulators form a mechanism closure that allows a virtual-mechanism-based analysis to take place. The method is based on the geometry of manipulators during manipulation and converts the cooperative manipulation problem into the analysis of a hypothetical mechanism so that the mechanism theory can be used for the manipulation. This mechanism is hence generated by the fact that the end points (or geometric centres of respective grippers) of cooperative manipulators coincide with a virtual joint during cooperative manipulation. The analysis not only generates positions and orientations of the end effectors of cooperative manipulators but also produces corresponding link configurations that can be used for manipulation planning. The approach is further used for the orientation-based trajectory planning with two different cases. Simulations and discussions are made with respect to cooperative manipulations using two 2R manipulators and one 2R manipulators and one 3R manipulator.



1993 ◽  
Vol 59 (564) ◽  
pp. 2318-2325 ◽  
Author(s):  
Naoyuki Sawasaki ◽  
Hirochika Inoue








2019 ◽  
Vol 4 (27) ◽  
pp. eaau9757 ◽  
Author(s):  
F. Cini ◽  
V. Ortenzi ◽  
P. Corke ◽  
M. Controzzi

The human hand is capable of performing countless grasps and gestures that are the basis for social activities. However, which grasps contribute the most to the manipulation skills needed during collaborative tasks, and thus which grasps should be included in a robot companion, is still an open issue. Here, we investigated grasp choice and hand placement on objects during a handover when subsequent tasks are performed by the receiver and when in-hand and bimanual manipulation are not allowed. Our findings suggest that, in this scenario, human passers favor precision grasps during such handovers. Passers also tend to grasp the purposive part of objects and leave “handles” unobstructed to the receivers. Intuitively, this choice allows receivers to comfortably perform subsequent tasks with the objects. In practice, many factors contribute to a choice of grasp, e.g., object and task constraints. However, not all of these factors have had enough emphasis in the implementation of grasping by robots, particularly the constraints introduced by a task, which are critical to the success of a handover. Successful robotic grasping is important if robots are to help humans with tasks. We believe that the results of this work can benefit the wider robotics community, with applications ranging from industrial cooperative manipulation to household collaborative manipulation.



Author(s):  
Leonardo Pavanatto Soares ◽  
Regis Kopper ◽  
Marcio Sarroglia Pinho


Author(s):  
Selma Music ◽  
Gionata Salvietti ◽  
Pablo Budde gen. Dohmann ◽  
Francesco Chinello ◽  
Domenico Prattichizzo ◽  
...  


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