Hello! I am Jui-Te. I'm going to join The Robotics Institute at Carnegie Mellon University, as a student in MSR program.
Maritime RobotX Challenge
Visiting Student at University of Washington
Department of Electrical and Computer Engineering
Information Processing Lab
Advised by Prof. Jenq-Neng Hwang
Seattle WA. Sep, 2021 ~ Feb, 2022
M.S. & B.S. at National Chiao Tung University
Institute of Electrical and Control Engineering
College of Electrical and Computer Engineering
Assistive Robotics Group
Advised by Prof. Hsueh-Cheng Wang
Hsinchu Taiwan. Sep, 2016 ~ Mar, 2022
IEEE Robotics and Automation Letters - 2021
we propose the use of single-chip millimeter-wave (mmWave) radar, which is lightweight and inexpensive, for learning-based autonomous navigation. However, because mmWave radar signals are often noisy and sparse, we propose a cross-modal contrastive learning for representation (CM-CLR) method that maximizes the agreement between mmWave radar data and LiDAR data in the training stage to enable autonomous navigation using radar signal.Paper Video Github More...
Urban Circuit - Seatle - 2020
Journal of Field Robotics - 2022
The DARPA Subterranean (SubT) Challenge aims to develop innovative technologies that would augment operations underground. The SubT Challenge will explore new approaches to rapidly map, navigate, search, and exploit complex underground environments. I participated in the Urban Circuit as the software team lead and human supervisor. We build our robots to perform search and rescure mission in a unfinished nuclear power plant.Paper Video More...
We present our socially-aware end-to-end grasping for human-to-robot handover. We first leverage existing end-to-end grasping as network backbone, and then finetune for non-invasive grasps and trajectories using sample efficient deep reinforcement learning. Comprehensive evaluations are carried out against various recent baselines using multi-stage hand and object prediction and subsequent planning.Preprint Video Web
Tunnel Circuit - Pittsburgh - 2019
The DARPA Subterranean (SubT) Challenge aims to develop innovative technologies that would augment operations underground. The SubT Challenge will explore new approaches to rapidly map, navigate, search, and exploit complex underground environments. I participated in the Tunnel Circuit with my team and our robots to perform search and rescue mission in a mine tunnel.Arxiv More...
IEEE/RSJ International Conference on Intelligent Robots and Systems - 2019
Sixth Biennial Meeting of MOOS Development and Application Working Group, Cambridge MA, August, 2019
This project is to help the people who are interested in marine robotics. We built a low-cost surface vehicle called duckieboat. Our vehicles are compatible with machine learning frame works. We demonstrate the implementation of classic autonomous navigation algorithms also tracking vehicles with deep learning computer vision with sensors on board.Paper Web Github More...
We participated in the 2018 Maritime RobotX Challenge and awarded number 5th at the final stage. We built a surface vehicle to solve multiple tasks including autonomous docking, navigation, obstacle avoidance, launch & recovery, scan code and acoustic pinging.Arxiv Web More...