I am a Computer Science PhD student in the Cognitive Robotics Lab. Before this, I spent a summer in NavLab at Carnegie Mellon University and with the robotics group at Oregon State University. I am excited by technological advancements and want to use robots to help people in need as well as push society forward
Outside of my research interests I also enjoy a slew of outdoor activities, getting lost in big cities, watching films, reading novels and slacklining between trees.
My current research focus is enabling robots to optimally explore their environments autonomously. A few of my previous projects and experiences are shown below.
Washburn, A., Adeleye, A., An, T., and Riek, L.D. (2020). "Robot Errors in Proximate HRI: How Functionality Framing Affects Perceived Reliability and Trust". In ACM Transactions on Human Robot Interaction (THRI).
Hillsboro Oregon, Intel-Software and Services Group 2017
For this project, I used OpenCV, Caffe and Intel’s Integrated Performance Primitives (IPP) to perform object recognition. The program took in a webcam feed or a set of images, performed region proposal and then used a deep learning model to
classify objects. Using Intel's Vtune Amplifier, I analyzed run time speed comparing IPP and OpenCV for image resizing
and region proposal. I then analyzed the run time speed of Caffe's classification comparing
the MKL, ATLAS and OpenBlas math libraries.