8 citations · 8 across the 9 of their papers we have counts for
9 papers
Multimodal Adversarial Quality Policy for Safe Grasping
Kunlin Xie, Chenghao Li, Haolan Zhang +1
Vision-guided robot grasping based on Deep Neural Networks (DNNs) generalizes well but poses safety risks in the Human-Robot Interaction (HRI). Recent works solved it by designing…
IL-SLAM: Intelligent Line-assisted SLAM Based on Feature Awareness for Dynamic Environments
Haolan Zhang, Thanh Nguyen Canh, Chenghao Li +3
Visual Simultaneous Localization and Mapping (SLAM) plays a crucial role in autonomous systems. Traditional SLAM methods, based on static environment assumptions, struggle to handl…
SR-SLAM: Scene-reliability Based RGB-D SLAM in Diverse Environments
Haolan Zhang, Chenghao Li, Thanh Nguyen Canh +2
Visual simultaneous localization and mapping (SLAM) plays a critical role in autonomous robotic systems, especially where accurate and reliable measurements are essential for navig…
Adaptive Prior Scene-Object SLAM for Dynamic Environments
Haolan Zhang, Thanh Nguyen Canh, Chenghao Li +1
Visual Simultaneous Localization and Mapping (SLAM) plays a vital role in real-time localization for autonomous systems. However, traditional SLAM methods, which assume a static en…
Quality-focused Active Adversarial Policy for Safe Grasping in Human-Robot Interaction
Chenghao Li, Razvan Beuran, Nak Young Chong
Vision-guided robot grasping methods based on Deep Neural Networks (DNNs) have achieved remarkable success in handling unknown objects, attributable to their powerful generalizabil…
Superradiance of Friedberg-Lee-Sirlin Solitons
Guo-Dong Zhang, Cheng-Hao Li, Qi-Xin Xie +1
It has recently been pointed out that rotation in internal space can induce superradiance. We explore this effect in non-topological solitons of the two-field Friedberg-Lee-Sirlin…
Pyramid-Monozone Synergistic Grasping Policy in Dense Clutter
Chenghao Li, Nak Young Chong
Grasping a diverse range of novel objects in dense clutter poses a great challenge to robotic automation mainly due to the occlusion problem. In this work, we propose the Pyramid-M…
The black hole shadow of quantum Oppenheimer-Snyder-de Sitter spacetime
Shu Luo, Cheng-Hao Li
In this study, we investigate the black hole shadow of an exact black hole solution of the loop quantum gravity (LQG) theory. We discuss some of its optical characteristics after g…
An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable Placement
Peiwen Zhou, Ziyan Gao, Chenghao Li +1
This paper presents an efficient deep reinforcement learning (DRL) framework for online 3D bin packing (3D-BPP). The 3D-BPP is an NP-hard problem significant in logistics, warehous…