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pro vyhledávání: '"Kim, Chung"'
Automating tasks in outdoor agricultural fields poses significant challenges due to environmental variability, unstructured terrain, and diverse crop characteristics. We present a robotic system for autonomous pepper harvesting designed to operate in
Externí odkaz:
http://arxiv.org/abs/2411.09929
Autor:
Kerr, Justin, Kim, Chung Min, Wu, Mingxuan, Yi, Brent, Wang, Qianqian, Goldberg, Ken, Kanazawa, Angjoo
Humans can learn to manipulate new objects by simply watching others; providing robots with the ability to learn from such demonstrations would enable a natural interface specifying new behaviors. This work develops Robot See Robot Do (RSRD), a metho
Externí odkaz:
http://arxiv.org/abs/2409.18121
Autor:
Yu, Justin, Hari, Kush, Srinivas, Kishore, El-Refai, Karim, Rashid, Adam, Kim, Chung Min, Kerr, Justin, Cheng, Richard, Irshad, Muhammad Zubair, Balakrishna, Ashwin, Kollar, Thomas, Goldberg, Ken
Building semantic 3D maps is valuable for searching for objects of interest in offices, warehouses, stores, and homes. We present a mapping system that incrementally builds a Language-Embedded Gaussian Splat (LEGS): a detailed 3D scene representation
Externí odkaz:
http://arxiv.org/abs/2409.18108
Autor:
Rashid, Adam, Kim, Chung Min, Kerr, Justin, Fu, Letian, Hari, Kush, Ahmad, Ayah, Chen, Kaiyuan, Huang, Huang, Gualtieri, Marcus, Wang, Michael, Juette, Christian, Tian, Nan, Ren, Liu, Goldberg, Ken
Inventory monitoring in homes, factories, and retail stores relies on maintaining data despite objects being swapped, added, removed, or moved. We introduce Lifelong LERF, a method that allows a mobile robot with minimal compute to jointly optimize a
Externí odkaz:
http://arxiv.org/abs/2403.10494
There is growing interest in automating agricultural tasks that require intricate and precise interaction with specialty crops, such as trees and vines. However, developing robotic solutions for crop manipulation remains a difficult challenge due to
Externí odkaz:
http://arxiv.org/abs/2311.07479
Autor:
Rashid, Adam, Sharma, Satvik, Kim, Chung Min, Kerr, Justin, Chen, Lawrence, Kanazawa, Angjoo, Goldberg, Ken
Grasping objects by a specific part is often crucial for safety and for executing downstream tasks. Yet, learning-based grasp planners lack this behavior unless they are trained on specific object part data, making it a significant challenge to scale
Externí odkaz:
http://arxiv.org/abs/2309.07970
Let $F(X)=X^{2^{2k}+2^k+1}$ be the power function over the finite field $\GF{2^{4k}}$ which is known as the Bracken-Leander function. In \cite{BCC10,BL10,CV20,Fu22,XY17}, it was proved that the number of solutions in $\GF{q^4}$ to the equation $F(X)+
Externí odkaz:
http://arxiv.org/abs/2305.12645
Publikováno v:
Zhongshan Daxue xuebao. Yixue kexue ban, Vol 45, Pp 539-548 (2024)
目的探究壮通饮通过Nrf2-SCL7A11/xCT-Gpx4通路调控铁死亡对大脑中动脉栓塞模型小鼠脑缺血再灌注损伤的保护作用及其机制。方法将C57BL/6J小鼠随机分为假手术组（Sham）、模型组（MCAO）、低剂量
Externí odkaz:
https://doaj.org/article/3f956de2f1694b94a4f0c348a2ae94ca
