Research
My research interests include robotics, computer vision, and machine learning. I am particularly interested in leveraging deep-learning techniques to enhance robot capabilities (robot learning). My personal goal in robotics research is to develop truly useful autonomous robots that can reason about and adapt to new environments or scenarios. Currently, I am working on diffusion models to improve robot policies for single-agent and multi-agent autonomous exploration.
|
|
DARE: Diffusion Policy for Autonomous Robot Exploration
Yuhong Cao*,
Jeric Lew*,
Jingsong Liang,
Jin Cheng,
Guillaume Sartoretti
IEEE International Conference on Robotics and Automation (ICRA), 2025
arXiv /
video
Diffusion models for improved autonomous robot exploration by predicting explicit long-term trajectories into unknown areas hence implicitly reasoning about unknown spatial structure.
|
|
SALON: Self-supervised Adaptive Learning for Off-road Navigation
Matthew Sivaprakasam,
Samuel Triest,
Cherie Ho,
Shubhra Aich,
Jeric Lew,
Isaiah Adu,
Wenshan Wang,
Sebastian Scherer
IEEE International Conference on Robotics and Automation (ICRA), 2025
arXiv /
project /
video
Perception-action framework for robust off-road navigation that enables fast adaptation of traversability estimates through learning online.
|
|
SHRED: Swift High-Resolution features via Efficient Distillation
Jeric Lew,
Matthew Sivaprakasam,
Samuel Triest,
Wenshan Wang,
Sebastian Scherer
RISS Working Papers Journal, 2024
poster /
video
A knowledge distillation framework trains a faster, high-resolution CNN-based image encoder with capabilities comparable to ViT-based models, meant for real-time off-road navigation.
|
|
A Novel real-time arrhythmia detection model using YOLOv8
Guang Jun Nicholas Ang,
Aritejh Kr Goil,
Henryk Chan,
Jeric Lew,
Xin Chun Lee,
Raihan Bin,
Ahmad Mustaffa,
Timotius Jason,
Ze Ting Woon,
Bingquan Shen
arXiv, 2023
arXiv /
bibtex
Real-time arrhythmia detection using a loss-modified YOLOv8-based model on single-lead ECG signals achieves 99.5% accuracy for home-based cardiac monitoring.
|
|