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This work focuses on the Limited Information Shared Control and its controller design using potential games. Through the developed systematic controller design, the experiments demonstrate the effectiveness and superiority of this concept compared to traditional manual and non-cooperative control approaches in the application of large vehicle manipulators.
Robotic research and developments in computing technologies including artificial intelligence have led to significant improvements in autonomous capabilities of robots. Yet, human supervision is advisable and, in many cases, necessary when robots interact with real-world, outside-lab environments. This is due to the fact that complete autonomy in robots has not yet been achieved. When robots encounter challenges beyond their capabilities, a viable solution is to include human operators in the loop, who can support robots through teleoperation, taking complete control or shared control. This monograph focuses on a special form of shared control, namely mixed-initiative, where the final command to the robot is a weighted sum of the commands from the operator and the autonomous controller. The weights (fixed or adaptive), called authority allocation (AA) factors, decide who has more control authority over the robot. Several research groups use different methods to adapt the AA factors online and the benefits of adaptive mixed-initiative shared control have been well established in terms of task completion success and operator usability. However, stability of the overall shared control framework, with communication time-delays between the operator and the robot, is a field that has not been examined extensively. This monograph presents methods to improve performance and stability in shared control so that the possibilities of its applications can be widened. Firstly, methods to improve the haptic feedback performance of teleoperation are developed. Secondly, methods to stabilize adaptive shared control systems, while still ensuring high teleoperation performance, are proposed. The methods are validated on multiple robotic systems and they were applied in several projects, both in space and terrestrial domains. With the aforementioned contributions, this monograph provides an overarching framework to improve synergy between humans and robots. The flexibility of the framework allows integration of existent teleoperation and shared control approaches, which further promotes synergy within the robotics community.
Like many other new technologies which have since been seized and exploited by others, the industrial robot is a British invention. In 1957, a patent was produced by a British inventor, Cyril Walter Kenward, and later it became crucial to the future of robotics. For across the Atlantic two robot builders, Unimation and AMF, both infringed this patent and ultimately a cash settlement was made to Kenward. The owner of Unimation Inc. was Joseph Engelberger, an entrepreneur and avid reader of Isaac Asimov, the writer who helped to create the image of the benevolent robot. It is claimed that Engelberger's journey of fame down the road which led to him being hailed as the 'father of robotics' can be traced to the day that he met George C. Devol at a cocktail party. Devol was an inventor with an impressive list of patents to his name in the electronics field. One of Devol's patent applications referred to a Programmed Transfer Article. Devol's patent was issued in 1961 as US Patent 2,988,237, and this formed the basis of the Unimate robot which first saw the light of day in 1960. The first Unimate was sold to Ford Motor Company which used it to tend a die-casting machine. It is perhaps ironic that the first robot was used by a company which refused to recognise the machine as a robot, preferring instead to call it a Universal Transfer Device.
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
The goal of this book is to close the gap between high technology and accessibility for people having lost their independence due to the loss of physical and/or cognitive capabilities. Robots and mechatronic devices bring the opportunity to improve the autonomy of disabled people and facilitate their social and professional integration by assisting them to perform daily living tasks. Technical topics of interest include, but are not limited to: Communication and learning applications in SCI an CP, Interface and Internet-based designs, Issues in human-machine interaction, Personal robotics, Hardware and control, Evaluation methods, Clinical experience, Orthotics and prosthetics, Robotics for older adults, Service robotics, Movement physiology and motor control.