AI Powered Robots for Substation Inspection

Watch this informative webinar on the use of AI Powered Robots for Substation Partial Discharge Inspections
The need for autonomous infrastructure inspections performed by mobile robots is becoming increasingly prevalent, to mitigate human error and inspect critical infrastructure with increased frequency, while reducing costs. Electric distribution substations contain a variety of high-power equipment that may occasionally fail, and we focus on inspecting panel compartments as a representative test case. Measurements of acoustic and transient earth voltage (TEV) data are used to detect degradation before failures occur; we collect these measurements using handheld partial discharge (PD) sensors. Measurement collection with PD sensors is automated using a mobile manipulator robot equipped with a custom gripper. Accurate mapping, localization and navigation are used aboard an electric unmanned ground vehicle (UGV) to provide the mobility required for a fully autonomous substation inspection. Computer vision and precise manipulator control are also used to achieve successful handheld sensor interactions.
In this webinar, the development and testing of the custom-integrated mobile manipulation system capable of performing these functions, which achieves a tradeoff between the small size needed to navigate through low-clearance areas, and the reach capabilities needed to collect the required measurements from panel compartments is discussed.
Please contact us at EA Technology if you are interested in sponsoring further research. We'll work with you and Stevens Institute for Artificial Intelligence (SIAI).
Guest Speaker Bio:
Dr. Brendan Englot is an Associate Professor of Mechanical Engineering at Stevens Institute of Technology, and Director of the Stevens Institute for Artificial Intelligence (SIAI). He has fifteen years of experience developing and deploying mobile robots and autonomous navigation algorithms via land, air and sea. Brendan received S.B., S.M. and Ph.D. degrees in Mechanical Engineering from MIT in 2007, 2009 and 2012, respectively. At MIT, he studied motion planning for surveillance and inspection applications, deploying his algorithms on an underwater robot to inspect Navy and Coast Guard ships. During 2012-2014, Brendan was with United Technologies Research Center in East Hartford, Connecticut, where he was a Research Scientist and Principal Investigator in the Autonomous and Intelligent Robotics Laboratory and a technical contributor to the Sikorsky Autonomous Research Aircraft. He has been with Stevens Institute of Technology since 2014.
To learn more about handheld partial discharge test equipment visit:
eatechnology.c...
To learn more about the Stevens Institute for Artificial Intelligence visit:
www.stevens.ed...

[@iangrice5511]

Definitely saving for later 👍