Hey there 👋

Taijing Chen

I'm a final year Computer Science M.S. student at the University of Texas-Austin. I'm currently working in Autonomous Mobile Robotics Lab, fortunately advised by Dr. Joydeep Biswas. Before that, I obtained my B.S. in Computer Science at the University of Wisconsin-Madison. I worked in the the Speech Motor Action + Control Lab, part of the Speech Motor Neuroscience Group at UW-Madison. I was honored to work with Dr. Ben Parrel and Dr. Adam Lammert.

I'm interested in how humans/machines perceive the world, make decisions under uncertainty, and leverage on the acquired information to adapt to the dynamic, uncertain environments. I have a broad interest in robotics, machine learning, and computational neuroscience and cognitive science. Most of my recent works are about perceptions and state-estimations of robots, particularly with regards to long-term robust SLAM. My previous experience was mainly focused on modeling the learning and generalizaiton process in human speech motor control.

In my spare time, I love reading about history, psychology, physics and technologies. I also greatly enjoy music, arts, and anime.

Let's connect!

Publications

ObVi-SLAM: Long-Term Object Visual SLAM
NEW

A. Adkins, T. Chen, and J. Biswa | Submitting to RA-L

Introduced ObVi-SLAM to overcome Visual SLAM challenges by leveraging the best of feature-based and object-based V-SLAM.

Multi-Factor Visual SLAM Failures

A. Adkins*, T. Chen*, and S. Modak*, and J. Biswas | RSS2023 Workshop

Examined multi-factor Visual SLAM failures in everday mobile service robots.

Probabilistic Object Maps for Long-Term Robot Localization

A. Adkins, T. Chen, and J. Biswas | IROS 2022

Introduced probabilistic object maps (POMs) and its localization module for globally consistent localization challenging, highly-dynamic real-world environments such as parking lots

Modeling Sensorimotor Adaptation in Speech Through Alterations to Forward and Inverse Models

T. Chen, A. Lammert, and B. Parrell | INTERSPEECH 2021

Introduced a neural-network based model to simulate speech sensorimotor adaptation whose results replicated the ones from behavioral experiments

ObVi-SLAM: Long-Term Object Visual SLAMNEW

Multi-Factor Visual SLAM Failures

Probabilistic Object Maps for Long-Term Robot Localization

Modeling Sensorimotor Adaptation in Speech Through Alterations to Forward and Inverse Models

ObVi-SLAM: Long-Term Object Visual SLAM
NEW