Swarm formation, state estimation and implementation of distributed agents, in particular in small satellites,
Autonomous vehicles control, health monitoring and risk management, in particular, unmanned underwater vehicles (UUVs),
Inspection robotics, in particular, monitoring and verification of remote to access pipelines,
Resource-aware online health monitoring of structural and cyber-physical systems,
Research at AIM
The Advanced Intelligent Mechatronics (AIM) is a technologically advanced mechatronics and robotics research laboratory, and is a leader in the areas of health monitoring, autonomous systems, bio-robotics and bio-inspiration. Within South Dakota School of Mines and Technology (SDSMT), a pioneer research university in the region, the AIMS is a cultivating environment for innovative and interdisciplinary robotics engineering, research, and development. The AIM brings multidisciplinary group of Science, Technology, Engineering and Math (STEM) students from diverse backgrounds together and collaborates with researchers from SDSMT, the industrial partners, and national research centers and laboratories to focus on the common purpose of creating knowledge and fostering innovation.
Our Mission and Vision
Research at AIMS is focused on two core areas of intelligent systems and autonomous robotics for integrity inspection and health monitoring . At AIMS the collaborative research is being conducted with academic partners, federal research centers, national laboratories and industrial sponsors in emerging controls areas to introduce new concepts and technologies to the research and industry communities. One of the primary goals is the development of new health monitoring methods to assess health state industrial systems and predict the useful life including intelligent defense and energy systems, smart manufacturing, condition-based maintenance, cyber physical systems, cloud-based monitoring and computing, etc. These techniques translate into a useful tools and pave the way for the development and deployment of Prognostics and Health Management (PHM) of industrial systems.
The laboratory envisions the future of automated systems as an active system that enables equipment to achieve and sustain near-zero breakdown performance with self-maintenance capabilities (self-aware, self-predict, self-diagnosis, and self-configure), and ultimately to realize the autonomous control transformation of raw data to useful information for improved reliability, productivity, and asset utilization.