Dynamic Systems and Control Conference


Dynamic Systems and Control Conference

Tysons Corner, Virginia

October 11-13, 2017

Program - Student Best Paper Finalists


Gihyeob An

Gihyeob An, Texas A&M University

Collision Cone Based Lane Changing Model for Collision Avoidance (DSCC2017-5045)
Authors: Gihyeob An and Reza Langari, Texas A&M University

Biography: Gihyeob An is a first-year Ph.D. in Transportation engineering in Texas A&M. He obtained M.S. in Electrical Engineering in Texas A&M in summer 2017 with the thesis topic about the lane changing model for advantageous driving. His research interest is Intelligent Transportation System(ITS) and Autonomous vehicles, and Algorithm and Control system design. Also, his interests lie in ITS, not just from the perspective of a technology itself, but also from the viewpoint of how ITS affects the society and can be connected to our lives.

Karl Fetzer

Karl Fetzer, Villanova University

Backstepping Control of Underactuated Planar Vehicles with Nonholonomic Constraints (DSCC2017-5126)
Authors: Karl Fetzer, Sergey Nersesov and Hashem Ashrafiuon, Villanova University

Biography: Karl Ludwig Fetzer is a PhD Student at Villanova University, where he studies Mechanical Engineering. He earned a BS in Mechanical Engineering from Lehigh University in 2007 and a MSE in Aeronautics and Astronautics Engineering from Purdue University in 2011. He worked in the space industry for several years, where he had an internship with Space Exploration Technologies implementing the Dragon space capsule's orbit-raising maneuvers and a full-time role with Lockheed Martin Space Systems Company, where he implemented the attitude control system flight software for the GPS III and A2100 satellites. More recently, he worked on the guidance, navigation, and control algorithms for multirotor unmanned aerial vehicles at startups WM Robots and Airware. His dissertation research involves nonlinear control strategies for underactuated autonomous vehicles.

Dejun Guo

Dejun Guo, University of Utah

Position and Linear Velocity Estimation for Position-Based Visual Servo Control of an Aerial Robot in GPS-Denied Environments (DSCC2017-5135)
Authors: Dejun Guo, and Kam Leang, University of Utah

Biography: Dejun Guo received the B.Eng. from Northwestern Polytechnical University, Xi’an, China, in 2012 and the M.S. degree in the Department of Automation, Shanghai Jiao Tong University, Shanghai, China in 2015. He is currently pursuing the Ph.D. degree in mechanical engineering from the University of Utah, Salt Lake City, Utah. He is with the DARC (Design, Automation, Robotics & Control) Lab, University of Utah Robotics Center. His research focuses on control theory, visual-servo control, and precision mechatronics, with application in aerial robots and nanopositioning systems.

Ryan Koeppen

Ryan Koeppen, MIT

Controlling Physical Interactions: Humans do not Minimize Muscle Effort (DSCC2017-5202)

Authors: Ryan Koeppen, Meghan Huber, and Neville Hogan, MIT and Dagmar Sternad, Northeastern University


Biography: Ryan Koeppen is an undergraduate student from Massachusetts Institute of Technology (MIT) majoring in Mechanical Engineering and minoring in Biomedical Engineering. At MIT, he is involved with research in the Newman Laboratory for Biomechanics and Human Rehabilitation which focuses on quantifying human motor control during physical interactions with constraints. His research interests include modeling human biomechanical behavior during complex tasks for applications in rehabilitation. He is also interested in design and development of medical devices and rehabilitative technology using mechanical and biomechanical principles.

Yu Zhao

Yu Zhao, UC Berkley

Neuroadaptive Control for Trajectory Tracking of Indirect Drive Robots (DSCC2017-5228)

Authors: Yu Zhao, Xiaowen Yu, Masayoshi Tomizuka, UC Berkley

Biography: Yu Zhao received his B.Eng. degree from the Department of Precision Instruments and Mechanology in 2009, and his M.S. degree from the Department of Mechanical Engineering, both at Tsinghua University. He is currently a Ph.D student with the Department of Mechanical Engineering at University of California, Berkeley. He works on motion control of industrial robots with Professor Masayoshi Tomizuka in the Mechanical Systems Control Lab.

Edgar Bolivar

Edgar Bolivar, University of Texas at Dallas

A General Framework for Minimizing Energy Consumption of Series Elastic Actuators with Regeneration (DSCC2017-5373)
Authors: Edgar Bolivar, Siavash Rezazadeh and Robert D. Gregg, University of Texas at Dallas

Biography: Edgar BolĂ­var is a Ph.D. student in the Department of Mechanical Engineering at the University of Texas at Dallas. In 2011, he graduated as a Mechatronics Engineer from the Universidad Nacional de Colombia. During his thesis, he worked in the nonlinear position and force control algorithms for single rod hydraulic cylinders in cooperation with the University of Wisconsin-Milwaukee. After graduation, he worked as a research engineer in the motion control of a Stewart Gough platform. Currently, he is a graduate research assistant at the Locomotor Control Systems Laboratory (LoCoLab). His goal in the LoCoLab is to provide powered prosthetic legs and rehabilitation exoskeletons with actuators and control systems that allow synergy between human and machine.