Integrations between Autonomous System and Modern Computing Techniques: A Mini-review

The emulation of human behavior for autonomous problem solving has been an interdisciplinary field of research. Generally, classical control systems are used for static environments, where external disturbances and changes in internal parameters can be fully modulated before or neglected during operation. However, classical control systems are inadequate at addressing environmental uncertainty. By contrast, autonomous systems, which were first studied in the field of control systems, can be applied in an unknown environment. This paper summarizes the state of the art autonomous systems by first discussing the definition, modeling, and system structure of autonomous systems and then providing a perspective on how autonomous systems can be integrated with advanced resources (e.g., the Internet of Things, big data, Over-the-Air, and federated learning). Finally, what comes after reaching full autonomy is briefly discussed

Imparting expressivity and dynamics to percussive musical robot Shimon

Presented on November 7, 2018 at 6:00 p.m. in the Georgia Tech Hotel and Conference Center, room 236.Keshav Bimbraw is a graduate student pursuing an M.S. in Music Technology (Computer Technology and Media Applciations) with a focus in Robotics from Georgia Tech Center for Music Technology, Georgia Institute of Technology.Runtime: 03:05 minutesMusical Robots designed for struck idiophones lack the expressivity and musical dynamics which can make them sound more human. The actuators in these robots are mostly solenoids which have an unpredictable and unreliable response in terms of how powerfully they can strike the notes. The challenge is to use actuators which have good speed-torque characteristics, and controlling them such that they can have the speed and torque capabilities necessary for playing a Marimba, even exceeding human capabilities. In this presentation, the problem statement, the reason and the solution is discussed