![]() The dogs, for their part, can predict the responses of the sheep. The dogs know their role in herding, they understand what is expected of them and the owner understands what the dogs are doing. A small team of dogs can control hundreds of sheep without losing any. Trained dogs can understand a number of voice and whistle commands to perform their innate skills in support of the farmer’s herding needs. Border collies have a natural herding instinct (2) and sheep have a flocking instinct (3). Sheep herding (1) is essential for sheep farmers. It is instructive to look at human/animal teams since animals are almost as different from humans as robots are. Heterogeneous human teams are everywhere, from the operating room in a hospital to the football field. The benefits that can come from heterogeneous mixed human robot teams are immense. A robot that can fly offers a unique and valuable skill. The value of the team comes from mobilising their diverse capabilities. systems and autonomous robots have vastly different strengths and weaknesses from human team members. ![]() Our research concerns this latter kind of team. ![]() Heterogeneous teams consists of specialised individuals, or specialised subgroups. In such a case, the value comes from parallelism, such as picking grapes from vines. Homogeneous teams, involve team members doing the same work. There is a clear need for human-robot teams in which humans and robots work side-by-side. In many cases the human overhead required to use a robot exceeds the usefulness of having it. Today, most robots are either tele-operated or perform precisely defined missions. The research focuses on the development of new models and algorithms for robotic motion planning and for the control of active catheter systems and algorithms to achieve real-time intraoperative MRI acquisition and image reconstruction, as well as hardware realization and experimental validation of the pioneered technologies.Chief Scientist at Dynamic Object Language Labs Inc, Dr Paul Robertson explains how autonomous AI systems are key to achieving synergy between humans and robotics that can work together as a teamĪrtificial Intelligence (A.I.) and Autonomous Robotics are advancing rapidly and becoming robust and reliable in a number of fields, but there remains much to be done before intelligent robots can work together with us as assistants. The project integrates high-speed MRI technologies with robotic motion planning and control techniques to develop a novel co-robotic system. Our researchers are also working to develop a robotic active catheter system that can perform atrial fibrillation ablation under real-time intraoperative magnetic resonance imaging (MRI) guidance. In addition, our researchers are developing intelligent robotic mobile manipulation systems. With advanced robotic perception, planning and manipulation capabilities, these systems are targeted to work in close collaboration with human users in home and small-batch manufacturing applications. We are developing robotic motion planning, perception, control and learning algorithms to create next-generation intelligent robotic surgical assistants. The robotic assistant will have the ability to perform low-level surgical manipulation tasks, such as suturing and retraction, and will allow the surgeon to interact with it through high-level instructions. Through artificial intelligence, machine learning and robotics, our researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart transportation and smart healthcare.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |