Ayano Hiranaka

I recently completed my Master's degree at Stanford University. At Stanford, I was a research assistant at Stanford Vision and Learning Lab (SVL) working with Prof. Fei-Fei Li , Prof. Jiajun Wu, and Dr. Ruohan Zhang.

Currently, I am working as a research intern at Sony AI.

I received my undergraduate degree in mechanical engineering from the University of Illinois at Urbana-Champaign (UIUC). My experiences are a unique blend of computer science and mechanical engineering, ranging from AI to robotics to mechanical design.

I am actively looking for PhD positions for fall 2024.

Email  /  CV  /  Google Scholar  /  Github

Publications

I am passionate about designing robots that can be incorporated into everyday life as human companions. My research interest lies in developing methods that enable robots to communicate effectively and collaborate seamlessly with humans in households or public spaces, increasing the quality of human lives , while evolving alongside humans by learning from them. Topics of interest include human-in-the-loop learning, interactive human-robot collaboration, reinforcement learning, and imitation learning, especially for robotics applications.

Brain-robot interface system for everyday activities using EEG signal decoding, primitive skills, and robot intelligence aided by foundation models.

Combining intuitive skill-based action space and human evaluative feedback for a more safe and sample efficient long-horizon task learning in real life.

Leveraging high-level state representation, active query, and human guidance for a more sample-efficient learning of low-level robot control policy.

Research Projects

Mechatronic system that detect, track, and collect spectral data from moving, light-emitting objects in the night sky.
Mentored and sponsored by Prof. Nick Glumac.

Real-time identification of a note played on a piano with a probabilistic approach using a feedback particle filtering algorithm.
Mentored by Prof. Amirhossein Taghvaei and Prof. Prashant Mehta.

Investigation of atomization-based cutting fluid spray condition to maximize tool life for deep micro-drilling. Automatic drill parameter measurements from microscope images using keypoint detection.
Mentored by Dr. Amy Lee and Prof. Shiv Kapoor.

Miscllaneous Projects

In progress retro-style simulaiton RPG in Unity.
Personal hobby project.

AR piano using real-time hand keypoint tracking from RGB webcam stream.
CS231A Computer Vision from 3D Reconstruction to Recognition course project.

Drum-player humanoid simulator that playes the beats speficied by a user.
CS225A Experimental Robotics course project.

A vegetable slicer operating from single crank input, quadruped walking robot, and steel ball transporter mechanism.