Page 27 - போஸ்ட்டாக்டொரல் ஆராய்ச்சியாளர் News Today : Breaking News, Live Updates & Top Stories | Vimarsana
THL ennätti jo selittämään kuntavaaleja siirtäneitä hurjia koronalukuja – Tutkijatohtori tilanteesta: Omiaan lisäämään epäluottamusta
kauppalehti.fi - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from kauppalehti.fi Daily Mail and Mail on Sunday newspapers.
Multidrug-resistant S aureus strains may be spreading between pigs, farmworkers in North Carolina
news-medical.net - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from news-medical.net Daily Mail and Mail on Sunday newspapers.
Mazé Morais
Maria José Morais Costa, better known as Mazé Morais is from Batalha, PI, Brazil, where she lives with her husband and son. She is a family farmer of beans, corn, manioc and small animals. She is a leader in community organizations, youth ministry, and in the Brazilian Rural Workers Union (MSTTR). In 2013 she was elected Youth Secretary of Brazil’s National Confederation of Agricultural Workers) (CONTAG), and has served as secretary of its women’s caucus since 2017. In 2019 she coordinated the March of the Daisies, a mass mobilization of rural and indigenous women to defend the forest and waters. She is also part of the board of the Confederation of Family Producers, Peasants and Indigenous Organizations of the Expanded Mercosur (COPROFAM).
Presented by Dr. Yiannis Kantaros, Postdoctoral Researcher, Department of Computer and Information Science, University of Pennsylvania
Recent advances in machine learning & AI, computer vision, and control theory offer a tremendous opportunity to deploy autonomous robot systems to uncharted environments to accomplish complex missions. Such tasks are particularly challenging as they require the robots to operate in environments with unknown structure, degraded environmental conditions, severe communication and sensing constraints, and expansive areas of operation. With the goal of ultimately designing safe, robust and autonomous robotic systems that can operate in these conditions, in the first part of this talk, I will present a novel autonomy control loop that embraces learning-based perception, area mapping, and a novel planning method that allows teams of robots to safely accomplish complex missions in unknown but continuously learned environments. Particularly, the proposed met
vimarsana © 2020. All Rights Reserved.