5/20/2021: Patent application published at United States Patent. Presence of an active research community, i.e. ASME’s Robotics for Inspection & Maintenance, along with research needs / opportunities including US Department of Energy’s National Renewable Energy Lab (NREL) initiative on recruitment for the E-ROBOT , as well as alignment with energy and environment thrust area of of SDBOR, are the derive for the applied front of AIM research.
5/21/2021: AIM research presented at 2021 AIAA/IEEE aerospace conference, 2021 Workshop on Naval Applications of Machine Learning, and 2021 South Dakota Mines Student Research Symposium
02/04/2021: Paper submission titled “Adaptive Neural Network Based Fault Identification and Risk Management for Autonomous Underwater Vehicles (AUVs)” is accepted at fifth annual workshop on NAML2021 virtual event, on 23-25 March, 2021.
12/05/2020: Campus-wide collaborative proposal for National Science Foundation Research Traineeship (NSF-NRT) program, selected by South Dakota Mines to move forward.
10/07/2020: AIM group presented status of Self Localization and Intelligent Mapping (SLIM) research at NEEC Technical Exchange Meeting (TEM), representing South Dakota Mines among university partners of NUWC division at Keyport, WA.
8/31/2020: AIM lab hosted an open house during undergraduate research day where prospective Undergraduate Research Assistant (URA) students received information about multiple funded research opportunities at SD Mines AIM lab and beyond.
8/25/2020: Graduate student Alexander Frye awarded full-time Graduate Research Assistantship (GRA) (jointly supported by CSE Department) and will be assisting with autonomous multi-agent research project.
8/03/2020: Graduate student Benjamin Colvin awarded full-time Graduate Teaching Assistantship (GTA) sponsored by ME department and will be assisting with ME 351L (Mechatronics and Measurements).
07/09/2020: Journal article “A case study on influence of utilizing hill-type muscles on> > mechanical efficiency of biped running gait ” accepted and in publication process in the springer journal of “International Applied Mechanics” vol 56, issue 4, 2020.
6/14/2020: Our paper titled “Validation of Distributed State Estimation for Localization of Small Satellites and Swarm Formation” was selected as “Outstanding Abstract Award” for the highest number of bids for review by authors.
4/6/2020 Received a Faculty Fellowship award from the NASA Marshall Space Flight Center Aerospace Fellowship Program. Fekrmandi will spend the ten-week fellowship (June 1, 2020 and end August 7, 2020) working on research project, “Autonomous GN&C” with NASA Marshall collaborator.
2/7/2019: Received DoD grant from NAVSEA’s NEEC program (GRANT12964921) on “Advancing Swarm Self-Localization and Intelligent Maneuvering (SLIM) for Autonomous Unmanned Vehicles via Machine Learning”.
11/19/2019: Our invention disclosure titled “Robotic Crawler for Autonomous Inspection and Maintenance of Small Diameter Piping Network” is filed by university’s patent attorney. The patent application is supported by the Office of Economic Development at South Dakota School of Mines and Technology.
10/13/2019: Our manuscript submission titled “A Case Study on Influence of Utilizing Hill-type Muscles on Mechanical Efficiency of Biped Running Gait ” is accepted in the International Journal of Applied Mechanics
9/6/2019: Papers on intelligent SHM and guidance, navigation and control of swarm accepted in ASCE 20′ Earth and Space Conference.
8/7/2019: Received DoD grant from Navy’s NREP program (Grant N002531910003) for development of FIRM intelligent health monitoring for Unmanned Underwater Submarines (UUV) using deep learning.
5/9/2019: Papers on bio-inspired robotic inspection and vision-based state estimation of small satellites accepted in FCRAR 2019
3/20/2019: Papers on multi-sensor structural health monitoring and non-destructive testing accepted at SPIE 2019
2/1/2019: Received NASA EPSCoR’s Research Initiation Grant (RIG) Award on distributed control of swarm of small satellites
11/14/2018: Presented research at University of Wyoming’s Materials Science and Engineering (MSE) seminar invited speaker seminar series
3/27/2018: Papers on the data-driven health monitoring of composites and reliability of ultrasonic guided-wave methods accepted at SPIE 2018
Page Author: Samuel Irwin, BS student Mechanical Engineering, SDSMT