Advanced Robotics - Towards Intelligent Machines

Author(s):  
J. O. Gray
Mechatronics ◽  
1996 ◽  
Vol 6 (7) ◽  
pp. 853-854
Author(s):  
D. Subbaram Naidu

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Zhiming Hu ◽  
Yunlong Li ◽  
Jiu-an Lv

AbstractSelf-oscillating systems that enable autonomous, continuous motions driven by an unchanging, constant stimulus would have significant applications in intelligent machines, advanced robotics, and biomedical devices. Despite efforts to gain self-oscillations have been made through artificial systems using responsive soft materials of gels or liquid crystal polymers, these systems are plagued with problems that restrict their practical applicability: few available oscillation modes due to limited degrees of freedom, inability to control the evolution between different modes, and failure under loading. Here we create a phototunable self-oscillating system that possesses a broad range of oscillation modes, controllable evolution between diverse modes, and loading capability. This self-oscillating system is driven by a photoactive self-winding fiber actuator designed and prepared through a twistless strategy inspired by the helix formation of plant-tendrils, which endows the system with high degrees of freedom. It enables not only controllable generation of three basic self-oscillations but also production of diverse complex oscillatory motions. Moreover, it can work continuously over 1270000 cycles without obvious fatigue, exhibiting high robustness. We envision that this system with controllable self-oscillations, loading capability, and mechanical robustness will be useful in autonomous, self-sustained machines and devices with the core feature of photo-mechanical transduction.


Author(s):  
Chetan Kapoor ◽  
Nathan Pettus ◽  
Rich Hooper ◽  
Delbert Tesar

Abstract Mechanical systems for manufacturing in the past have represented monolithic, dedicated machines which remain expensive and inflexible relative to product changes due to market demands. It is the goal of the Robotics Research Group at the University of Texas at Austin (UTRRG) to develop a complete generalized modular architecture for intelligent machines (robots). This paper discusses the various issues involved in the design and selection of system controller hardware, servo controller hardware, real-time software, operating systems, and the software design methodologies. These constructs are required for the realization of a revolutionary, advanced intelligent flexible manufacturing system which offers the same success potential as that of a personal computer.


2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.


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