28 citations · 87 across the 20 of their papers we have counts for
20 papers
Rethinking 3D Segmentation from Individual LiDAR Scans: Incidence-Aware Sampling on the SIP Benchmark
Seongyong Kim, Jingdao Chen, Yong Kwon Cho
3D scene understanding is increasingly important in construction, yet most methods are developed on curated datasets that do not fully reflect real site sensing conditions. In many…
FLYNN: Robust Neural Network for Robot Navigation using Fly Brain Topology
Benquan Wang, Jingdao Chen
While deep learning models achieve state-of-the-art performance in complex tasks, they remain brittle when faced with new environments or sensory deprivation. In contrast, biologic…
AI Identification: An Integrated Framework for Sustainable Governance in Digital Enterprises
Di Kevin Gao, Jingdao Chen, Shahram Rahimi
As artificial intelligence (AI) systems grow more powerful, autonomous, and embedded in critical infrastructure, their identification and traceability become foundational to regula…
Learning-Based Collaborative Control for Bi-Manual Tactile-Reactive Grasping
Leonel Giacobbe, Jingdao Chen, Chuangchuang Sun
Grasping is a core task in robotics with various applications. However, most current implementations are primarily designed for rigid items, and their performance drops considerabl…
CottonSim: A vision-guided autonomous robotic system for cotton harvesting in Gazebo simulation
Thevathayarajh Thayananthan, Xin Zhang, Yanbo Huang +5
Cotton is a major cash crop in the United States, with the country being a leading global producer and exporter. Nearly all U.S. cotton is grown in the Cotton Belt, spanning 17 sta…
X-DECODE: EXtreme Deblurring with Curriculum Optimization and Domain Equalization
Sushant Gautam, Jingdao Chen
Restoring severely blurred images remains a significant challenge in computer vision, impacting applications in autonomous driving, medical imaging, and photography. This paper int…
The AI Pentad, the CHARMED Model, and an Assessment of Current-State AI Regulation
Di Kevin Gao, Sudip Mittal, Jiming Wu +3
Artificial Intelligence (AI) has made remarkable progress in the past few years with AI-enabled applications beginning to permeate every aspect of our society. Despite the widespre…
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics
Ivan A. Fernandez, Subash Neupane, Trisha Chakraborty +5
Industry 4.0 has witnessed the rise of complex robots fueled by the integration of Artificial Intelligence/Machine Learning (AI/ML) and Digital Twin (DT) technologies. While these…
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps
Di Kevin Gao, Andrew Haverly, Sudip Mittal +2
Artificial intelligence (AI) ethics has emerged as a burgeoning yet pivotal area of scholarly research. This study conducts a comprehensive bibliometric analysis of the AI ethics l…
A Bibliometric View of AI Ethics Development
Di Kevin Gao, Andrew Haverly, Sudip Mittal +1
Artificial Intelligence (AI) Ethics is a nascent yet critical research field. Recent developments in generative AI and foundational models necessitate a renewed look at the problem…
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
Subash Neupane, Shaswata Mitra, Ivan A. Fernandez +5
Robotics and Artificial Intelligence (AI) have been inextricably intertwined since their inception. Today, AI-Robotics systems have become an integral part of our daily lives, from…
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments
Charles Moore, Shaswata Mitra, Nisha Pillai +4
A major challenge with off-road autonomous navigation is the lack of maps or road markings that can be used to plan a path for autonomous robots. Classical path planning methods mo…
Analysis of LiDAR Configurations on Off-road Semantic Segmentation Performance
Jinhee Yu, Jingdao Chen, Lalitha Dabbiru +1
This paper investigates the impact of LiDAR configuration shifts on the performance of 3D LiDAR point cloud semantic segmentation models, a topic not extensively studied before. We…
A Hybrid Semantic-Geometric Approach for Clutter-Resistant Floorplan Generation from Building Point Clouds
Seongyong Kim, Yosuke Yajima, Jisoo Park +2
Building Information Modeling (BIM) technology is a key component of modern construction engineering and project management workflows. As-is BIM models that represent the spatial r…
AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce
Sudip Mittal, Jingdao Chen
Robotics, automation, and related Artificial Intelligence (AI) systems have become pervasive bringing in concerns related to security, safety, accuracy, and trust. With growing dep…
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images
Isaac Ronald Ward, Charles Moore, Kai Pak +2
Contrastive learning has recently demonstrated superior performance to supervised learning, despite requiring no training labels. We explore how contrastive learning can be applied…
Mixed-domain Training Improves Multi-Mission Terrain Segmentation
Grace Vincent, Alice Yepremyan, Jingdao Chen +1
Planetary rover missions must utilize machine learning-based perception to continue extra-terrestrial exploration with little to no human presence. Martian terrain segmentation has…
Mars Terrain Segmentation with Less Labels
Edwin Goh, Jingdao Chen, Brian Wilson
Planetary rover systems need to perform terrain segmentation to identify drivable areas as well as identify specific types of soil for sample collection. The latest Martian terrain…
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation
Jingdao Chen, Zsolt Kira, Yong K. Cho
3D point cloud segmentation is an important function that helps robots understand the layout of their surrounding environment and perform tasks such as grasping objects, avoiding o…
Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots
Jingdao Chen, Yong K. Cho, Zsolt Kira
Mobile robots need to create high-definition 3D maps of the environment for applications such as remote surveillance and infrastructure mapping. Accurate semantic processing of the…