Eps 1365: The future of Machine Learning and Robotics
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Terrance Rodriquez
Podcast Content
There is an enormous opportunity for education, data, machine learning, and artificial intelligence to help robots realize the potential that Reisman envisioned decades ago. The majority of opportunities in these areas will help robots stay close to their potential. Instead of saying that human intelligence will be reached and the necessary contextual and general decision-making developed, we can say that robots will be based on artificial intelligence, even if they are not yet there.
Machine learning and artificial intelligence will encourage robots to do physical work independently. The increasing use of robots to carry out business activities will be an important use of these advanced technologies in 2020. With the continuous developments in machine learning, we can expect intelligent robots that can carry out all business activities.
With the introduction of robots in society and the possibility of training in data handling, machine learning and artificial intelligence will play an important role in enforcing them. Researchers at the University of Leeds are working on a robot that uses AI to learn from mistakes and analyse the data it collects to make better decisions over time. The robot is trained through 10,000 attempts and mistakes to find out which methods are most likely to succeed.
Machine learning algorithms generate large data sets to accelerate development and reduce the difficulty of creating complex systems, including robotic systems. This technology consists of machine learning and robotics applications that have the same potential for humans to become smarter through experience. Learning takes place through demonstrations, in which someone trains their movements with guided exercise simulations in an artificial 3D environment and feeds in video data from a person or robot performing a task that they hope to master themselves.
For example, the way to train robots with machine learning is being discovered by Shadow Robot, a company that is building a next-generation hand-held robotic system with advanced skills to solve challenging problems and working with OpenAI, founded by corporate tycoons Elon Musk and Sam Altman. Training data that help computer vision models detect tumors from MRI and CT scans can be used not only to diagnose and prevent disease, but also to train medical robots for surgery and other life-saving procedures. Recent examples of the development of machine-learning robotics include the combination of supporting machines with more autonomy, such as Northwest University's Mico robot arm, which can observe the world using Kinect sensors.
Robots and artificial intelligence offer exciting opportunities for the industry and promise to make our future more automated and efficient than ever before. The following overview of machine learning applications in robotics highlights five key areas in which machine learning has a significant impact on robotics technologies in the current development phase and future applications. Artificial intelligence and robot automation modalities are the backbone of the fourth industrial revolution in advanced manufacturing.
Some of the recent developments in robotics can be attributed to the development and use of machine learning, with the aim of collecting some of the most prominent applications in this article with links for reference. Although not exhaustive, the following overview of machine learning in robotics is intended to give readers a taste of the types of machine learning applications in robotics and stimulate the desire for further research in five key areas where machine learning has had a significant impact on robotics technologies both in development phases for future applications . The use of robotics in dangerous applications will ensure that people are safe as robotics becomes more advanced and uses AI technologies.
Artificial intelligence is the primary driver of emerging technologies such as big data, robotics and IoT, and will continue to be a technological innovator in the foreseeable future. Developped by Hong Kong-based Hanson Robotics, the robot solutions can smile, laugh and express emotions like humans. See the future of robots learning from each other and working together to transform industries from logistics to space exploration .
Unlike other machines programmed to solve a specific task, its robot solution, called BrickBot, is able to learn and act by itself. Industrial robotic systems that combine computer vision and artificial intelligence with sensors allow machines to work at full speed when people get too close to each other.
Autonomous mobile robots equipped with AI technology can help machines move parts and finished products and prevent people from doing tasks that cause them to take thousands of steps every day. In the decades to come, this work will be facilitated by industrious machines such as robotic systems that allow people to create elaborate new tasks.
Seven women have pioneered artificial intelligence, machine learning, and robotics - from humanising AI by automating the construction industry to reshaping the healthcare sector. A pioneer in human-robot interaction, she helped build the now-defunct Jibo, a social robot for home that uses advanced facial and speech recognition, natural language understanding and interaction to build a relationship with its human family.