LAB MEMBERS ATTENDED THE DSCC (DYNAMIC SYSTEMS AND CONTROL CONFERENCE) 2019 AND RECEIVED Robotics Technical Committee Best student Paper Award

LAB MEMBERS ATTENDED THE DSCC (DYNAMIC SYSTEMS AND CONTROL CONFERENCE) 2019 AND RECEIVED Robotics Technical Committee Best student Paper Award

Lab members (Prof. Chen, Dan and Hui) attended the DSCC (Dynamic Systems and Control Conference) at Park City, Utah, from October 8 – 11, 2019, and received the 2019 DSCC Robotics Technical Committee Best Student Paper Award.


Hui presented his work on “Following Fast-Dynamic Targets with only Slow and Delayed Visual Feedback — A Kalman Filter and Model-Based Prediction Approach,” and received the 2019 DSCC Robotics Technical Committee Best Student Paper Award. Congratulations!

  • Paper information: Although visual feedback has enabled a wide range of robotic capabilities such as autonomous navigation and robotic surgery, low sampling rate and time delays of visual outputs continue to hinder real-time applications. When partial knowledge of the target dynamics is available, however, we show the potential of significant performance gain in vision-based target following. Specifically, we propose a new framework with Kalman filters and multirate model-based prediction (1) to reconstruct fast-sampled 3D target position and velocity data, and (2) to compensate the time delay for general robotic motion profiles.

Dan exhibited her research on “Control-oriented Modeling and Repetitive Control in In-layer and Cross-layer Thermal Interactions in Selective Laser Sintering.” Way to go!

  • Paper information: Although laser-based additive manufacturing (AM) has enabled unprecedented fabrication of complex parts directly from digital models, broader adoption of the technology remains challenged by insufficient reliability and in-process variations. In pursuit of assuring quality in the selective laser sintering (SLS) AM, this paper builds a modeling and control framework of the key thermodynamic interactions between the laser source and the materials to be processed.