Robotics and Automation applies innovative technologies to problems in robotics, robot-human interaction, manufacturing and health care. Our research ranges from artificial intelligence to autonomous and remotely operated robot technologies, including applications in additive manufacturing, underground mine safety, magnetic guidance for placement of probes for deep brain stimulation and remote telesurgery. We use both high-performance computational and physical prototyping methods to advance research in these areas.
Director: Dr. Neil Dantam
The Dynamic Automata Lab conducts research in Robotics, Artificial Intelligence, and Systems. Our goal is to create robots that autonomously perform complex tasks, adapt to new environments, and are easy to program. This work integrates symbolic reasoning, computational geometry, and theoretical computer science. Learn more.
Director: Dr. Tom Williams
The Mines Interactive Robotics Research Lab develops intelligent agents designed to interact naturally with human teammates. To do so, they seek to combine computational methods and insights from artificial intelligence, cognitive science, and human-robot interaction with robotic and augmented reality technologies. Learn More
Director: Dr. Andrew Petruska
We focus on turning applied and fundamental research into complex system design to support both medical and field applications. Projects range from continuum robotic manipulation for neurosurgery to fundamental magnetic manipulation research to autonomous navigation in harsh environments. Learn More
Director: Dr. Hao Zhang
The Human-Centered Robotics Laboratory is dedicated to cutting-edge research on lifelong collaborative autonomy, with the goal of enabling robots to collaborate with humans, assist people, and take over tasks where our current society has shortcomings, as well as to operate over long periods of time (e.g., across days, seasons, and eventually over the robots’ lifetimes). Our research lies at the intersection of robotics, artificial intelligence, and augmented and mixed reality, with specific research topics focusing on robot adaptation and learning, multisensory perception, and human-robot/swarm teaming in dynamic, unstructured, open, and potentially adversarial environments. Learn more.
Dr. Moore’s general interests are in the area of control systems, with an emphasis on industrial applications, intelligent control theory, and autonomous systems, including mobile robotics. His research has involved (i) developing new theoretical results and applications in the areas of iterative learning control and discrete repetitive processes; (ii) the application of control theory, including intelligent control, to material processing, including the automated control of the gas-metal arc welding process, feedback control of the cupola furnace, and multivariable control of the aluminum reduction process; and (iii) design, development, and control of autonomous ground vehicles, including the commercialization of a surveillance robot used in military and civilian applications. More recently his efforts have been focused on the coordination and control of multi-agent systems, with applications to unmanned air and ground vehicles, mining automation, and building efficiency.
Director: Dr. Qi Han
The Pervasive Computing Systems (PeCS) research group, directed by Professor Qi Han of the Department of Computer Science at Colorado School of Mines, conducts research and development in various areas within the realm of integrated computer and network systems. The mission of PeCS is to design algorithms, develop techniques, and build systems to enable pervasive and mobile computing applications. PeCS members interests range from algorithms to systems, from design and experimentation to deployment and applications.