Zobrazeno 1 - 10
of 859
pro vyhledávání: '"D. Livingston"'
Distracted driving is a major cause of road fatalities. With improvements in driver (in)attention detection, these distracted situations can be caught early to alert drivers and improve road safety and comfort. However, drivers may have differing pre
Externí odkaz:
http://arxiv.org/abs/2403.03312
The use of mobile robots in unstructured environments like the agricultural field is becoming increasingly common. The ability for such field robots to proactively identify and avoid failures is thus crucial for ensuring efficiency and avoiding damag
Externí odkaz:
http://arxiv.org/abs/2309.16826
Autor:
Chen, Haonan, Mun, Ye-Ji, Huang, Zhe, Niu, Yilong, Xie, Yiqing, McPherson, D. Livingston, Driggs-Campbell, Katherine
In real-world human-robot systems, it is essential for a robot to comprehend human objectives and respond accordingly while performing an extended series of motor actions. Although human objective alignment has recently emerged as a promising paradig
Externí odkaz:
http://arxiv.org/abs/2309.04596
Autor:
Huang, Zhe, Mun, Ye-Ji, Chen, Haonan, Xie, Yiqing, Niu, Yilong, Li, Xiang, Zhong, Ninghan, You, Haoyuan, McPherson, D. Livingston, Driggs-Campbell, Katherine
Multiple levels of safety measures are required by multiple interaction modes which collaborative robots need to perform industrial tasks with human co-workers. We develop three independent modules to account for safety in different types of human-ro
Externí odkaz:
http://arxiv.org/abs/2308.03222
Autor:
Liu, Shuijing, Hasan, Aamir, Hong, Kaiwen, Wang, Runxuan, Chang, Peixin, Mizrachi, Zachary, Lin, Justin, McPherson, D. Livingston, Rogers, Wendy A., Driggs-Campbell, Katherine
Persons with visual impairments (PwVI) have difficulties understanding and navigating spaces around them. Current wayfinding technologies either focus solely on navigation or provide limited communication about the environment. Motivated by recent ad
Externí odkaz:
http://arxiv.org/abs/2307.06924
Autor:
Mun, Ye-Ji, Huang, Zhe, Chen, Haonan, Niu, Yilong, You, Haoyuan, McPherson, D. Livingston, Driggs-Campbell, Katherine
Collaborative robots are being increasingly utilized in industrial production lines due to their efficiency and accuracy. However, the close proximity between humans and robots can pose safety risks due to the robot's high-speed movements and powerfu
Externí odkaz:
http://arxiv.org/abs/2307.01886
Autor:
Chakraborty, Neeloy, Hasan, Aamir, Liu, Shuijing, Ji, Tianchen, Liang, Weihang, McPherson, D. Livingston, Driggs-Campbell, Katherine
In autonomous driving, detection of abnormal driving behaviors is essential to ensure the safety of vehicle controllers. Prior works in vehicle anomaly detection have shown that modeling interactions between agents improves detection accuracy, but ce
Externí odkaz:
http://arxiv.org/abs/2301.03634
Autor:
Caroline M. Barry, Ashna Jagtiani, Melvin D. Livingston, Sierra Talavera-Brown, Hannah LaBounty, Eugena Atkinson, Juli R. Skinner, Kelli A. Komro
Publikováno v:
Frontiers in Child and Adolescent Psychiatry, Vol 3 (2024)
IntroductionThis study examines the impacts of anxiety and depressive symptoms on subsequent initiation of alcohol use, cannabis use, and prescription opioid misuse among diverse adolescents attending high schools on or near a Tribal reservation in a
Externí odkaz:
https://doaj.org/article/3c984e6969464280b60521af79facba7
Autor:
Adams L. Sibley, Emma Klein, Hannah L.F. Cooper, Melvin D. Livingston, Robin Baker, Suzan M. Walters, Rachel E. Gicquelais, Stephanie A. Ruderman, Peter D. Friedmann, Wiley D. Jenkins, Vivian F. Go, William C. Miller, Ryan P. Westergaard, Heidi M Crane
Publikováno v:
Harm Reduction Journal, Vol 21, Iss 1, Pp 1-12 (2024)
Abstract Background Drug overdose deaths in the United States exceeded 100,000 in 2021 and 2022. Substance use stigma is a major barrier to treatment and harm reduction utilization and is a priority target in ending the overdose epidemic. However, li
Externí odkaz:
https://doaj.org/article/7262a761e9004317bdd94efb7a622a38
Autor:
Liu, Shuijing, Chang, Peixin, Huang, Zhe, Chakraborty, Neeloy, Hong, Kaiwen, Liang, Weihang, McPherson, D. Livingston, Geng, Junyi, Driggs-Campbell, Katherine
We study the problem of safe and intention-aware robot navigation in dense and interactive crowds. Most previous reinforcement learning (RL) based methods fail to consider different types of interactions among all agents or ignore the intentions of p
Externí odkaz:
http://arxiv.org/abs/2203.01821