Applications of a small piezoelectric actuator developed by Dr. Jun Ueda will be explored. This will involve the development of a demo robot that incorporates the piezoelectric cellular actuator technology to actuate a ...

State estimation is an integral part of many robotic systems. It is particularly important in the realm of high performance ground vehicles where systems must be real-time, robust, and accurate. This project aims to tackle ...

In this thesis, I summarize two published research papers [1][2] to which I contributed as an undergraduate researcher. My contributions to this research primarily consisted of implementing realistic human joint limitations ...

Rich, yet efficient knowledge processing is one of the key problems in modern autonomous robotics. The Robot Autonomy and Interactive Learning (RAIL) Lab at the Georgia Institute of Technology has developed a new knowledge ...

How can social robotics help reduce cognitive load when humans and robots work together? This document proposes research guidelines for exploring the confluence of human-computer interaction and cognitive load theory. Field ...

Chinese calligraphy is unique and has great artistic value but is difficult to master. In this paper, we make robots write calligraphy. Learning methods could teach robots to write, but may not be able to ...

Keyframe-based Learning from Demonstration has been shown to be an effective method for allowing end-users to teach robots skills. I propose a method for using multiple keyframe demonstrations to learn skills as sequences ...

The RoboCup Small Size Robotic Soccer League exists to drive research in robotics and artificial intelligence and the systems which compose those fields. In the Small Size League, teams of five fully autonomous robots play ...

We propose an incremental approach for learning a hierarchical task model from a series of demonstrations, where each demonstration is a permutation of a fixed number of different actions. Our hierarchical Task Execution ...