Zobrazeno 1 - 10
of 15 483
pro vyhledávání: '"A DASS"'
Many robot manipulation tasks require active or interactive exploration behavior in order to be performed successfully. Such tasks are ubiquitous in embodied domains, where agents must actively search for the information necessary for each stage of a
Externí odkaz:
http://arxiv.org/abs/2410.18964
Autor:
Ermatov, Arthur, Kost, Melisande, Yin, Xin, Butler, Paul, Dass, Mihir, Sharp, Ian D., Liedl, Tim, Bein, Thomas, Posnjak, Gregor
While DNA origami is a powerful bottom-up fabrication technique, the physical and chemical stability of DNA nanostructures is generally limited to aqueous buffer conditions. Wet chemical silicification can stabilise these structures but does not add
Externí odkaz:
http://arxiv.org/abs/2410.13393
In online learning, the ability to provide quick and accurate feedback to learners is crucial. In skill-based learning, learners need to understand the underlying concepts and mechanisms of a skill to be able to apply it effectively. While videos are
Externí odkaz:
http://arxiv.org/abs/2407.19393
The Virtual Experimental Research Assistant (VERA) is an inquiry-based learning environment that empowers a learner to build conceptual models of complex ecological systems and experiment with agent-based simulations of the models. This study investi
Externí odkaz:
http://arxiv.org/abs/2407.18335
Autor:
Dass, Prajnamaya, Ujjwal, Sonika, Novotny, Jiri, Zolotavkin, Yevhen, Laaroussi, Zakaria, Köpsell, Stefan
The vision for 6G extends beyond mere communication, incorporating sensing capabilities to facilitate a diverse array of novel applications and services. However, the advent of joint communication and sensing (JCAS) technology introduces concerns reg
Externí odkaz:
http://arxiv.org/abs/2405.01742
Mission critical communication (MCC) involves the exchange of information and data among emergency services, including the police, fire brigade, and other first responders, particularly during emergencies, disasters, or critical incidents. The widely
Externí odkaz:
http://arxiv.org/abs/2405.01492
Autor:
Dass, Sharana Dharshikgan Suresh, Barua, Hrishav Bakul, Krishnasamy, Ganesh, Paramesran, Raveendran, Phan, Raphael C. -W.
Human action or activity recognition in videos is a fundamental task in computer vision with applications in surveillance and monitoring, self-driving cars, sports analytics, human-robot interaction and many more. Traditional supervised methods requi
Externí odkaz:
http://arxiv.org/abs/2404.06243
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 91, Iss 1 (2021)
A field experiment was conducted during kharif 2018–19 under maize-wheat cropping system (MWCS) to study the effect of 4 crop-establishment and tillage management (CETM) practices [FBCT–FBCT, Flat bed–conventional tillage (FBCT) both in maize &
Externí odkaz:
https://doaj.org/article/b51a50f802414972a85e9e1e51a238a8
Autor:
ANIL K CHOUDHARY, VARATHARAJAN T, ROHULLAH ROHULLAH, R S BANA, V POONIYA, A DASS, ABHISHEK KUMAR, HARISH M N
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 90, Iss 10 (2020)
Under impeding production–and resource–vulnerabilities in India, our approach to agriculture needs to be redefined with inclination towards climate resilient integrated crop and resource management (ICRM) having low risk vulnerability, high facto
Externí odkaz:
https://doaj.org/article/12abdbbab5d14d899bf3eb837701ee17
Autor:
Khazatsky, Alexander, Pertsch, Karl, Nair, Suraj, Balakrishna, Ashwin, Dasari, Sudeep, Karamcheti, Siddharth, Nasiriany, Soroush, Srirama, Mohan Kumar, Chen, Lawrence Yunliang, Ellis, Kirsty, Fagan, Peter David, Hejna, Joey, Itkina, Masha, Lepert, Marion, Ma, Yecheng Jason, Miller, Patrick Tree, Wu, Jimmy, Belkhale, Suneel, Dass, Shivin, Ha, Huy, Jain, Arhan, Lee, Abraham, Lee, Youngwoon, Memmel, Marius, Park, Sungjae, Radosavovic, Ilija, Wang, Kaiyuan, Zhan, Albert, Black, Kevin, Chi, Cheng, Hatch, Kyle Beltran, Lin, Shan, Lu, Jingpei, Mercat, Jean, Rehman, Abdul, Sanketi, Pannag R, Sharma, Archit, Simpson, Cody, Vuong, Quan, Walke, Homer Rich, Wulfe, Blake, Xiao, Ted, Yang, Jonathan Heewon, Yavary, Arefeh, Zhao, Tony Z., Agia, Christopher, Baijal, Rohan, Castro, Mateo Guaman, Chen, Daphne, Chen, Qiuyu, Chung, Trinity, Drake, Jaimyn, Foster, Ethan Paul, Gao, Jensen, Herrera, David Antonio, Heo, Minho, Hsu, Kyle, Hu, Jiaheng, Jackson, Donovon, Le, Charlotte, Li, Yunshuang, Lin, Kevin, Lin, Roy, Ma, Zehan, Maddukuri, Abhiram, Mirchandani, Suvir, Morton, Daniel, Nguyen, Tony, O'Neill, Abigail, Scalise, Rosario, Seale, Derick, Son, Victor, Tian, Stephen, Tran, Emi, Wang, Andrew E., Wu, Yilin, Xie, Annie, Yang, Jingyun, Yin, Patrick, Zhang, Yunchu, Bastani, Osbert, Berseth, Glen, Bohg, Jeannette, Goldberg, Ken, Gupta, Abhinav, Gupta, Abhishek, Jayaraman, Dinesh, Lim, Joseph J, Malik, Jitendra, Martín-Martín, Roberto, Ramamoorthy, Subramanian, Sadigh, Dorsa, Song, Shuran, Wu, Jiajun, Yip, Michael C., Zhu, Yuke, Kollar, Thomas, Levine, Sergey, Finn, Chelsea
The creation of large, diverse, high-quality robot manipulation datasets is an important stepping stone on the path toward more capable and robust robotic manipulation policies. However, creating such datasets is challenging: collecting robot manipul
Externí odkaz:
http://arxiv.org/abs/2403.12945