Zobrazeno 1 - 10
of 17 396
pro vyhledávání: '"Adu IF"'
Even though Truck Mounted Attenuators (TMA)/Autonomous Truck Mounted Attenuators (ATMA) and traffic control devices are increasingly used in mobile work zones to enhance safety, work zone collisions remain a significant safety concern in the United S
Externí odkaz:
http://arxiv.org/abs/2412.18189
Autor:
Sivaprakasam, Matthew, Triest, Samuel, Ho, Cherie, Aich, Shubhra, Lew, Jeric, Adu, Isaiah, Wang, Wenshan, Scherer, Sebastian
Autonomous robot navigation in off-road environments presents a number of challenges due to its lack of structure, making it difficult to handcraft robust heuristics for diverse scenarios. While learned methods using hand labels or self-supervised da
Externí odkaz:
http://arxiv.org/abs/2412.07826
Autor:
Adu, Daniel Owusu, Chen, Yongxin
We consider a Schr\"odinger bridge problem where the Markov process is subject to parameter perturbations, forming an ensemble of systems. Our objective is to steer this ensemble from the initial distribution to the final distribution using controls
Externí odkaz:
http://arxiv.org/abs/2412.03294
Generating optimal trajectories for high-dimensional robotic systems in a time-efficient manner while adhering to constraints is a challenging task. This paper introduces PHLAME, which applies pseudospectral collocation and spatial vector algebra to
Externí odkaz:
http://arxiv.org/abs/2411.12962
This study examines the pitch content in traditional Ghanaian seperewa (Akan harp-lute) songs, utilizing a unique dataset from field recordings of the mid-twentieth century. We selected 71 songs and used Demucs to isolate vocals from instrumental tra
Externí odkaz:
http://arxiv.org/abs/2411.08234
Autor:
Yu, Botao, Baker, Frazier N., Chen, Ziru, Herb, Garrett, Gou, Boyu, Adu-Ampratwum, Daniel, Ning, Xia, Sun, Huan
To enhance large language models (LLMs) for chemistry problem solving, several LLM-based agents augmented with tools have been proposed, such as ChemCrow and Coscientist. However, their evaluations are narrow in scope, leaving a large gap in understa
Externí odkaz:
http://arxiv.org/abs/2411.07228
Accurate prediction of chemical reaction yields is crucial for optimizing organic synthesis, potentially reducing time and resources spent on experimentation. With the rise of artificial intelligence (AI), there is growing interest in leveraging AI-b
Externí odkaz:
http://arxiv.org/abs/2411.03320
Autor:
Chen, Ziru, Chen, Shijie, Ning, Yuting, Zhang, Qianheng, Wang, Boshi, Yu, Botao, Li, Yifei, Liao, Zeyi, Wei, Chen, Lu, Zitong, Dey, Vishal, Xue, Mingyi, Baker, Frazier N., Burns, Benjamin, Adu-Ampratwum, Daniel, Huang, Xuhui, Ning, Xia, Gao, Song, Su, Yu, Sun, Huan
The advancements of language language models (LLMs) have piqued growing interest in developing LLM-based language agents to automate scientific discovery end-to-end, which has sparked both excitement and skepticism about their true capabilities. In t
Externí odkaz:
http://arxiv.org/abs/2410.05080
Autor:
Michaux, Jonathan, Isaacson, Seth, Adu, Challen Enninful, Li, Adam, Swayampakula, Rahul Kashyap, Ewen, Parker, Rice, Sean, Skinner, Katherine A., Vasudevan, Ram
Neural Radiance Fields and Gaussian Splatting have transformed the field of computer vision by enabling photo-realistic representation of complex scenes. Despite this success, they have seen only limited use in real-world robotics tasks such as traje
Externí odkaz:
http://arxiv.org/abs/2409.16915
Publikováno v:
Road Materials and Pavement Design (2024) 1-25
Automated pavement monitoring using computer vision can analyze pavement conditions more efficiently and accurately than manual methods. Accurate segmentation is essential for quantifying the severity and extent of pavement defects and consequently,
Externí odkaz:
http://arxiv.org/abs/2409.07295