robotic research
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Author(s):  
F. Abdelghafour ◽  
F. Rançon ◽  
S. Liu ◽  
J. Champ ◽  
V. De Rudnicki ◽  
...  

Author(s):  
Majd Kassawat ◽  
Enric Cervera Mateu ◽  
Angel Pascual Del Pobil Ferre

2018 ◽  
Vol 4 (1) ◽  
pp. 17-20 ◽  
Author(s):  
Maike Ketelhut ◽  
Fabian Göll ◽  
Björn Braunstein ◽  
Kirsten Albracht ◽  
Dirk Abel

AbstractIn the past, different training scenarios have been developed and implemented on robotic research platforms, but no systematic analysis and comparison have been done so far. This paper deals with the comparison of an isokinematic (motion with constant velocity) and an isotonic (motion against constant weight) training algorithm. Both algorithms are designed for a robotic research platform consisting of a 3D force plate and a high payload industrial robot, which allows leg extension training with arbitrary six-dimensional motion trajectories. In the isokinematic as well as the isotonic training algorithm, individual paths are defined i n C artesian s pace by sufficient s upport p oses. I n t he i sotonic t raining s cenario, the trajectory is adapted to the measured force as the robot should only move along the trajectory as long as the force applied by the user exceeds a minimum threshold. In the isotonic training scenario however, the robot’s acceleration is a function of the force applied by the user. To validate these findings, a simulative experiment with a simple linear trajectory is performed. For this purpose, the same force path is applied in both training scenarios. The results illustrate that the algorithms differ in the force dependent trajectory adaption.


Author(s):  
Mattia Rigotti-Thompson ◽  
Miguel Torres-Torriti ◽  
Fernando Auat Cheein ◽  
Giancarlo Troni

2017 ◽  
Vol 5 (6) ◽  
pp. 799-801 ◽  
Author(s):  
Han Ding ◽  
Xuejun Yang ◽  
Nanning Zheng ◽  
Ming Li ◽  
Yinan Lai ◽  
...  

Projectus ◽  
2017 ◽  
Vol 2 (1) ◽  
Author(s):  
P. C. R. Silveira ◽  
C. M. A. Pereira ◽  
R. Schirru

2016 ◽  
Vol 21 (2) ◽  
pp. 107-123 ◽  
Author(s):  
Tero Karppi ◽  
Marc Böhlen ◽  
Yvette Granata

In October 2012 a group of non-governmental organizations formed a Campaign to Stop Killer Robots. The aim of this campaign was to preemptively ban fully autonomous weapons capable of selecting and engaging targets without human intervention. The campaign gained momentum swiftly, leading to different legal and political discussions and decision-makings. In this article, we use the framework of cultural techniques to analyze the different operational processes, tactics, and ethics underlying the debates surrounding developments of autonomous weapon systems. From reading the materials of the Campaign to Stop Killer Robots and focusing on current robotic research in the military context we argue that, instead of demonizing Killer Robots as such, we need to understand the tools, processes and operating procedures that create, support and validate these objects. The framework of cultural techniques help us to analyze how autonomous technologies draw distinctions between life and death, human and machine, culture and technology, and what it means to be in control of these systems in the 21st century.


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