The research in our group increases the ability of robots to plan and act on their own or assist in human-machine cooperative tasks. Our long-term goal is to make the supervision of robots similar to that of humans so as to increase productivity and capabilities. Our research brings together concepts from robotics, AI, and logic to develop planning frameworks that enable supervisors to describe tasks in high-level languages and have such frameworks plan the actions and motions for robots to safely complete their assigned tasks.
Our research approach follows a full cycle from algorithmic development and theoretical analysis to software implementation, field testing, and deployment.
Targeted applications include marine robotics, logistic operations, aerial robotics, medical robotics, and cyber-physical systems.