From lifesaving robotic arms pioneering angioplasty in India to new manufacturing hookups for self driving hotshots, robot bosses, the next generation of robotics experts, there’s a lot of exciting news in robotics this year already. Here are our 5 favourite stories from the first week of 2018: Great news for cardiac patients in India, a country that has an estimated 50 million patients suffering from coronary artery disease and conducts 500,000 angioplasties a year, far outweighed by its need of 3.5 million people waiting for an angioplasty.
With virtual assistants and robots becoming more intelligent every day, it’s easy to forget what sets us apart. Emotions, reason, our ability to make mistakes, love and care.
Whilst robots can display these characteristics, they are learning rather than feeling. Industry robots build our cars and laptops, rehabilitation robots help people walk again, machine teaching assistants can answer questions, machines can compose music. But they’re still not human.
Autonomous machines that interact, collaborate and co-exist with humans are becoming more and more functional, making their way out of research labs and into industry. But despite successes in robot function, robot interaction with people is lagging behind. We spoke to Anca Dragan, Assistant Professor at UC Berkeley and Founder of the InterACT Lab, to learn more about advancements in human-computer interaction.
For robots to successfully perceive and understand their environment, they must be taught to act in a goal-directed way. While mapping environments geometry is a necessary prerequisite for many mobile robot applications, understanding the semantics of the environment will enable novel applications, which require more advanced cognitive abilities. We spoke to Sven Behnke, Head of Autonomous Intelligent Systems Group at the University of Bonn, to learn more.
Jeremy Wyatt is Professor of Robotics and Artificial Intelligence, in the Computer Science department at University of Birmingham, where they create algorithms that enable robots to work in uncertain and unfamiliar worlds. We spoke with him to learn more about his work in this area, and to find out what we can expect for AI and robotics in the future.
Deep learning has enabled significant advances in supervised learning problems such as speech recognition and visual recognition. Reinforcement learning provides only a weaker supervisory signal, posing additional challenges in the form of temporal credit assignment and exploration.
The tech world is rapidly evolving and it’s hard to keep up! To help you get up to date we’ve rounded up the best tech and innovation articles from this past week that you should be reading. This week's theme is <b>Intelligent Machi...