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PROJECTS

We examine how robots and humans can work together in the treatment of highly infectious diseases such as Ebola. Particularly, we use a variant of Monte Carlo Tree Search to optimize task order and assignment between and human and a robot and dynamically adjust for contingencies in the patient treatment environment. 
Designed for the Applied Robotics class at OSU, this robot was made to play the game Let's Go Fishin' against other robots. 
 
You can learn more about this project on the team website . 

Modeling User Expertise for Shared Autonomy

Dynamic Task Allocation

for Human-Robot Teams

in Medical Environments

Let's Go Fishin' Robot

We model human expertise as a Partially Observable Markov Decision Process (POMDP) in order to choose the amount of control to share between a human user and semi-autonomous robot. The algorithms are tested in simulation with human user studies, and the adaptive shared autonomy is also applied to the underwater vehicle, the Seabotix vLBV300.
 
Publication: ICRA2017
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PCC Structural Workflow Optimization

We work with the parts casting company PCC in developing work flow optimization for their assembly line process. We use Reinforcement Learning and Evolutionary Algorithms to optimize work orders and are developing a GUI to visualize the process.

Senior Design: Go-kart Control

For my undergraduate senior design project, I was a member of a student team tasked to design a way to control multiple go-karts wirelessly during driving. Using Arduinos, we implemented additions to add to the existing go-karts to change the maximum speed of individual or all go-karts over Wi-Fi by using an Android app we created. 
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