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of 18 436
pro vyhledávání: '"P., Sivakumar"'
The transition from a chaotic to a periodic oscillatory state can be smooth or abrupt in real-world turbulent systems. Although there have been several mathematical studies, the occurrence of abrupt transitions in real-world systems such as turbulent
Externí odkaz:
http://arxiv.org/abs/2409.14203
Autor:
Thonti, Beeraiah, Sudarsanan, Sivakumar, Bhavi, Ramesh S., Bhaskaran, Anaswara, Raghunathan, Manikandan, Sujith, R. I.
The emergence of periodic oscillations is observed in various complex systems in nature and engineering. Thermoacoustic oscillations in systems comprising turbulent reactive flow exemplify such complexity in the engineering context, where the emergen
Externí odkaz:
http://arxiv.org/abs/2409.13044
Autor:
Wang, Zhecan, Liu, Junzhang, Tang, Chia-Wei, Alomari, Hani, Sivakumar, Anushka, Sun, Rui, Li, Wenhao, Atabuzzaman, Md., Ayyubi, Hammad, You, Haoxuan, Ishmam, Alvi, Chang, Kai-Wei, Chang, Shih-Fu, Thomas, Chris
Existing vision-language understanding benchmarks largely consist of images of objects in their usual contexts. As a consequence, recent multimodal large language models can perform well with only a shallow visual understanding by relying on backgrou
Externí odkaz:
http://arxiv.org/abs/2409.12953
Autor:
Bhat, Anoop, Gutow, Geordan, Vundurthy, Bhaskar, Ren, Zhongqiang, Rathinam, Sivakumar, Choset, Howie
The moving target traveling salesman problem with obstacles (MT-TSP-O) is a generalization of the traveling salesman problem (TSP) where, as its name suggests, the targets are moving. A solution to the MT-TSP-O is a trajectory that visits each moving
Externí odkaz:
http://arxiv.org/abs/2409.09852
Autor:
Hanson, Lucas C., Reinhardt, William H., Shrager, Scott, Sivakumar, Tarunyaa, Miskin, Marc Z.
Robots too small to see by eye have rapidly evolved in recent years thanks to the incorporation of on-board microelectronics. Semiconductor circuits have been used in microrobots capable of executing controlled wireless steering, prescribed legged ga
Externí odkaz:
http://arxiv.org/abs/2409.07293
Autor:
Kumar, Nitesh, Lee, Jaekyung Jackie, Rathinam, Sivakumar, Darbha, Swaroop, Sujit, P. B., Raman, Rajiv
This paper introduces a novel formulation aimed at determining the optimal schedule for recharging a fleet of $n$ heterogeneous robots, with the primary objective of minimizing resource utilization. This study provides a foundational framework applic
Externí odkaz:
http://arxiv.org/abs/2409.00572
Accurate lane detection is essential for effective path planning and lane following in autonomous driving, especially in scenarios with significant occlusion from vehicles and pedestrians. Existing models often struggle under such conditions, leading
Externí odkaz:
http://arxiv.org/abs/2408.09117
In this paper, we address the challenge of generating novel views of real-world objects with limited multi-view images through our proposed approach, FewShotNeRF. Our method utilizes meta-learning to acquire optimal initialization, facilitating rapid
Externí odkaz:
http://arxiv.org/abs/2408.04803
Autor:
Sivakumar, Arun N., Thangeda, Pranay, Fang, Yixiao, Gasparino, Mateus V., Cuaran, Jose, Ornik, Melkior, Chowdhary, Girish
Under-canopy agricultural robots require robust navigation capabilities to enable full autonomy but struggle with tight row turning between crop rows due to degraded GPS reception, visual aliasing, occlusion, and complex vehicle dynamics. We propose
Externí odkaz:
http://arxiv.org/abs/2408.03059
Superconducting QUantum Interference Devices (SQUIDs) are extremely sensitive magnetic flux sensors which render them useful in a wide array of instrumentation. SQUIDs are often paired with other detectors as a readout mechanism to obtain quantitativ
Externí odkaz:
http://arxiv.org/abs/2407.21689