Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Chen, Jingdao"'
Autor:
Fernandez, Ivan A., Neupane, Subash, Chakraborty, Trisha, Mitra, Shaswata, Mittal, Sudip, Pillai, Nisha, Chen, Jingdao, Rahimi, Shahram
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 technologies offer numerous benefits, they also introduce potential pr
Externí odkaz:
http://arxiv.org/abs/2406.18812
Publikováno v:
International Journal of Business Analytics (IJBAN), 2024, 11(1), 1-19
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 literature over the past two decades. The analysis reveals a discernibl
Externí odkaz:
http://arxiv.org/abs/2403.14681
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 of AI Ethics. In this study, we perform a bibliometric analysis of AI
Externí odkaz:
http://arxiv.org/abs/2403.05551
Autor:
Neupane, Subash, Mitra, Shaswata, Fernandez, Ivan A., Saha, Swayamjit, Mittal, Sudip, Chen, Jingdao, Pillai, Nisha, Rahimi, Shahram
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 robotic vacuum cleaners to semi-autonomous cars. These systems are bu
Externí odkaz:
http://arxiv.org/abs/2310.08565
Autor:
Moore, Charles, Mitra, Shaswata, Pillai, Nisha, Moore, Marc, Mittal, Sudip, Bethel, Cindy, Chen, Jingdao
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 mostly assume a perfectly known environment without accounting for the i
Externí odkaz:
http://arxiv.org/abs/2309.08814
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 explore the effect of using different LiDAR channels when training an
Externí odkaz:
http://arxiv.org/abs/2306.16551
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 reality of a project site can offer crucial information to stakeholders
Externí odkaz:
http://arxiv.org/abs/2305.15420
Autor:
Mittal, Sudip, Chen, Jingdao
Robotics, automation, and related Artificial Intelligence (AI) systems have become pervasive bringing in concerns related to security, safety, accuracy, and trust. With growing dependency on physical robots that work in close proximity to humans, the
Externí odkaz:
http://arxiv.org/abs/2302.07953
Contrastive learning has recently demonstrated superior performance to supervised learning, despite requiring no training labels. We explore how contrastive learning can be applied to hundreds of thousands of unlabeled Mars terrain images, collected
Externí odkaz:
http://arxiv.org/abs/2210.09234
Planetary rover missions must utilize machine learning-based perception to continue extra-terrestrial exploration with little to no human presence. Martian terrain segmentation has been critical for rover navigation and hazard avoidance to perform fu
Externí odkaz:
http://arxiv.org/abs/2209.13674