2 citations · 3 across the 5 of their papers we have counts for
5 papers
LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study
Nishath Rajiv Ranasinghe, Shawn M. Jones, Michal Kucer +5
Large Language Models (LLMs) are increasingly being leveraged for generating and translating scientific computer codes by both domain-experts and non-domain experts. Fortran has se…
The Collection of a Human Robot Collaboration Dataset for Cooperative Assembly in Glovebox Environments
Shivansh Sharma, Mathew Huang, Sanat Nair +5
Industry 4.0 introduced AI as a transformative solution for modernizing manufacturing processes. Its successor, Industry 5.0, envisions humans as collaborators and experts guiding…
Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasks
Jonathan Salfity, Selma Wanna, Minkyu Choi +1
Recent works in Task and Motion Planning (TAMP) show that training control policies on language-supervised robot trajectories with quality labeled data markedly improves agent task…
Multimodal Grounding for Embodied AI via Augmented Reality Headsets for Natural Language Driven Task Planning
Selma Wanna, Fabian Parra, Robert Valner +2
Recent advances in generative modeling have spurred a resurgence in the field of Embodied Artificial Intelligence (EAI). EAI systems typically deploy large language models to physi…
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
Kilian Zepf, Selma Wanna, Marco Miani +5
Image segmentation relies heavily on neural networks which are known to be overconfident, especially when making predictions on out-of-distribution (OOD) images. This is a common s…