6 papers
A Modular Object Detection System for Humanoid Robots Using YOLO
Nicolas Pottier, Meng Cheng Lau
Within the field of robotics, computer vision remains a significant barrier to progress, with many tasks hindered by inefficient vision systems. This research proposes a generalize…
Development of an Intuitive GUI for Non-Expert Teleoperation of Humanoid Robots
Austin Barret, Meng Cheng Lau
The operation of humanoid robotics is an essential field of research with many practical and competitive applications. Many of these systems, however, do not invest heavily in deve…
Reduced-Order Model-Guided Reinforcement Learning for Demonstration-Free Humanoid Locomotion
Shuai Liu, Meng Cheng Lau
We introduce Reduced-Order Model-Guided Reinforcement Learning (ROM-GRL), a two-stage reinforcement learning framework for humanoid walking that requires no motion capture data or…
g2o vs. Ceres: Optimizing Scan Matching in Cartographer SLAM
Quanjie Qiu, MengCheng Lau
This article presents a comparative analysis of g2o and Ceres solvers in enhancing scan matching performance within the Cartographer framework. Cartographer, a widely-used library…
Knitting Robots: A Deep Learning Approach for Reverse-Engineering Fabric Patterns
Haoliang Sheng, Songpu Cai, Xingyu Zheng +1
Knitting, a cornerstone of textile manufacturing, is uniquely challenging to automate, particularly in terms of converting fabric designs into precise, machine-readable instruction…
Personalizing Education through an Adaptive LMS with Integrated LLMs
Kyle Spriggs, Meng Cheng Lau, Kalpdrum Passi
The widespread adoption of large language models (LLMs) marks a transformative era in technology, especially within the educational sector. This paper explores the integration of L…