Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
A version of this article appeared in the Spring 2018 issue of strategy business. If you haven't noticed, a high-stakes global game of digital disruption is currently under way. It is fueled by the latest wave of technology: advances in artificial intelligence, data analytics, robotics, the Interne...
Finally, after long hours of debating on which of our finalists should win our Best of CES awards this year, we've made our decisions. Below is our list of winners for each category, as well as Best of the Best and People's Choice. Accessibility has become a major theme at CES, and it's one of the harder categories to judge because of all the potentially life changing tech on the floor. But Xenoma's e-skin pajamas took the prize this year thanks to its innovative fabric sensors that can stand up to the abuse of a washing machine and don't need any sort of liquid or gel to keep conductivity with your skin. Black Box VR is building the gym of the future.
This article provides an overview of the state of the art in this area. It begins with the dominant paradigm of assistive control, from impedance-based cooperative controller through electromyography and intention estimation. It then covers challenge-based algorithms, which provide more difficult and complex tasks for the patient to perform through resistive control and error augmentation. Furthermore, it describes exercise adaptation algorithms that change the overall exercise intensity based on the patient's performance or physiological responses, as well as socially assistive robots that provide only verbal and visual guidance. The article concludes with a discussion of the current challenges in rehabilitation robot software: evaluating existing control strategies in a clinical setting as well as increasing the robot's autonomy using entirely new artificial intelligence techniques.
Characterizing human values is a topic deeply interwoven with the sciences, humanities, art, and many other human endeavors. In recent years, a number of thinkers have argued that accelerating trends in computer science, cognitive science, and related disciplines foreshadow the creation of intelligent machines which meet and ultimately surpass the cognitive abilities of human beings, thereby entangling an understanding of human values with future technological development. Contemporary research accomplishments suggest sophisticated AI systems becoming widespread and responsible for managing many aspects of the modern world, from preemptively planning users' travel schedules and logistics, to fully autonomous vehicles, to domestic robots assisting in daily living. The extrapolation of these trends has been most forcefully described in the context of a hypothetical "intelligence explosion," in which the capabilities of an intelligent software agent would rapidly increase due to the presence of feedback loops unavailable to biological organisms. The possibility of superintelligent agents, or simply the widespread deployment of sophisticated, autonomous AI systems, highlights an important theoretical problem: the need to separate the cognitive and rational capacities of an agent from the fundamental goal structure, or value system, which constrains and guides the agent's actions. The "value alignment problem" is to specify a goal structure for autonomous agents compatible with human values. In this brief article, we suggest that recent ideas from affective neuroscience and related disciplines aimed at characterizing neurological and behavioral universals in the mammalian kingdom provide important conceptual foundations relevant to describing human values. We argue that the notion of "mammalian value systems" points to a potential avenue for fundamental research in AI safety and AI ethics.
New details regarding Apple's efforts in autonomous car technology were revealed in a patent published this week, spotted by Autoblog. The patent, called "Autonomous Navigation System," was filed by Apple in 2015, about a year after the company reportedly started working on self-driving technology. The paperwork filed with the U.S. Patent and Trademark Office details a navigation system with sensors installed in the vehicle that provides "updates to a virtual characterization" of a route drivers have traveled on. The patent also mentions a " database of characterizations," where information on traveled roads can be stored in. "Some embodiments provide an autonomous navigation system which enables autonomous navigation of a vehicle along one or more portions of a driving route based on monitoring, at the vehicle, various features of the route as the vehicle is manually navigated along the route to develop a characterization of the route."
We put every robot vacuum we review through rigorous testing, measuring how well they pick up debris, how rough they are on furniture, and how efficient their batteries are. A link has been posted to your Facebook feed. We put every robot vacuum we review through rigorous testing, measuring how well they pick up debris, how rough they are on furniture, and how efficient their batteries are.
Researchers from our group at QUT and the Australian Centre for Robotic Vision have had six papers accepted to the upcoming Australasian Conference on Robotics and Automation to be held at The University of Technology Sydney. This year the conference trialed a dual submission process with the IEEE International Conference on Robotics and Automation, meaning work can be presented at both conferences but only published in the proceedings of one. The papers cover ongoing research in our lab spanning topics including robotics, positioning and AI for applications in mining, construction safety and autonomous vehicles. I'll give an overview here of the research we're doing, and a wrap up at the end. Despite very high safety standards, work sites of all varieties around Australia still cause large numbers of injuries and occasional fatalities.
HYDERABAD: As Saudi Arabia's decision to grant citizenship to a robot makes international headlines, a top official of the Indian IT industry body says it signifies that artificial intelligence (AI) has come of age. The AI is fast reaching a stage where many of the tasks performed by humans can be done by robots, Nasscom president R Chandrashekhar told. Riyadh's recent move to give citizenship to an AI humanoid robot is more of a "symbolic gesture" meant to draw the attention to the use of technology and willingness to give technology a free play, he said. "Obviously it (granting citizenship to a human robot, named Sophia) was not required; it's given more as a symbolic gesture," Chandrashekhar said, adding that, however, "there are lot of ethical questions which come up". He said: "But essentially, the grant of citizenship (to a bot) is only a sort of symbolic thing.
Despite recent attempts to tease the robotics projects incubating at its Google X skunkworks, industry observers say that Google has done more to stifle than advance innovation in robotics. On December 4th, 2013, John Markoff, a technology reporter for The New York Times, broke the story that Google had acquired seven robotic companies and that Andy Rubin, of Android fame, would be heading the group. Schaft, a Japanese start-up developing a humanoid robot; Industrial Perception, a Silicon Valley start-up that developed a computer vision system for loading and unloading trucks; Meka Robotics, a robot developer for academia; Redwood Robotics, a start-up intended to compete with the Baxter robot (and others) entering the small and medium-sized shop and factory marketplace; Bot & Dolly, a maker of robotic camera systems used for special effects such as in the movie "Gravity;" Autofuss, a design and marketing firm and a partner in Bot & Dolly; and Holomni, a maker of powered caster modules for omnidirectional vehicles. On December 14th, 2013, Markoff followed up with the news that Google had added to its new stable of robotic companies by acquiring Boston Dynamics, a 20-year old developer of mobile and off-road robotics and human simulation technology mostly for DARPA and the Department of Defense. Thus some of the leading startups in the industry and the whole 80 talent pool from Boston Dynamics became part of Google.
For example, a company called Intelligent Flying Machines built a drone that can autonomously navigate through a warehouse and match what's on the shelves to what's in the inventory system to help the distribution center manage inventory better. We see a lot of opportunity in other areas like precision agriculture, package delivery, safety and security, and search and rescue. For the areas that I mentioned -- industrial inspection, precision agriculture, package delivery, safety and security, search and rescue -- there's going to be an opportunity for UAVs to solve these challenges in a way they haven't been able to before. Clayton: Nvidia makes Jetson, and Jetson is Nvidia's platform for artificial intelligence for edge devices like UAVs.