Speaker
심영보 (Ph.D ,삼성전자 종합기술원 Mechatronics Lab)
Time & Location
Apr. 22 (Fri) 15:00 / Building 133 Room 316-1
Abstract
As Artificial Intelligence (AI) becomes tangible with the advance of Deep Learning technology, robots have been re-gaining much attention accordingly as agents for providing intelligent physical service to human. But researchers still have lots of technical problems to overcome in order to let robots to permeate in our daily living. From the customers’ point of view, robots doesn’t seem to satisfy their needs in terms of cost, performance and safety except very specific cases like surgical robots and cleaning robots. Most of reasons are assuredly due to actuation systems, where we are still dependent upon conventional technologies originated from industrial robots. But current trends shows hopeful outlook that all the problems will be overcome and those innovation will trigger the new robot business in near future. In this sense, starting with the overview of mechatronics in robotics, this presentation will introduce the current state-of-the-arts of actuation technologies applicable to robots and also try to give the audience the grasp of in which directions the actuation technologies are approaching to go over the barriers of practicability and affordability.
Biography
Dr. Youngbo Shim is currently working at Samsung Advanced Institute of Technology (SAIT) as a technical leader in Mechatronics Lab. He received a B.S degree in Mechanical Engineering in 1994, and M.S and Ph.D degrees in 1996 and 2002 respectively in Mechanical Engineering at Seoul National University. After completing Post Doc course in Korea Institute of Science and Technology (KIST) researching on Public Service Robots (PSR), he joined SAIT in 2003 as a research staff. He designed robot control architecture for mobile robots and enabled the robots to move around in the office environment for 20 days without any human intervention. After moved to Mechatronics and Manufacturing Research Center in Samsung Electronics, he dedicated himself to mechanism design for humanoid robots for 5 years till 2009, focusing on upper body and safe arm mechanism. Based on those experiences, he was in charge of manipulation technologies including dual-arm motion planning and grasping control and in parallel worked as a leader of multiple projects which had been launched to transfer robot technologies to other business departments. He returned to SAIT in 2011 and developed master device for single-port surgical robot. Now he has been playing his role in managing technology developments regarding walking assist device since 2013 and also titled as research master of mechatronics technology in 2014. He has 66 US patents in robotics, 31 of which have been registered. Now his research interests are mainly related to assistive robotics including human-compatible mechanism design and control, biomechanics and human motion simulation and application of deep learning to dealing with big data for human musculoskeletal healthcare.
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