Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Nithish K"'
Autor:
Sathyamoorthy, Adarsh Jagan, Patel, Utsav, Paul, Moumita, Kumar, Nithish K Sanjeev, Savle, Yash, Manocha, Dinesh
We present CoMet, a novel approach for computing a group's cohesion and using that to improve a robot's navigation in crowded scenes. Our approach uses a novel cohesion-metric that builds on prior work in social psychology. We compute this metric by
Externí odkaz:
http://arxiv.org/abs/2108.09848
Membrane proteins provide a significant part in cellular activities. The role of membrane proteins is inevitable in drug interactions and in all living organisms. Membrane protein classification is used to identify the relationships between proteins.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9c20c3436e768a1f71712de69e48f25
https://doi.org/10.21203/rs.3.rs-1873422/v1
https://doi.org/10.21203/rs.3.rs-1873422/v1
Publikováno v:
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS).
Akademický článek
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Publikováno v:
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH. :81-83
Thyroid and parathyroid are anatomically close to each other. Blood supply to parathyroid may get cut off inadvertently or all parathyroid tissue may get removed removed during near total or total thyroidectomy.As a result of near total and total thy
Publikováno v:
ICRA
We present a novel Deep Reinforcement Learning (DRL) based policy to compute dynamically feasible and spatially aware velocities for a robot navigating among mobile obstacles. Our approach combines the benefits of the Dynamic Window Approach (DWA) in
Autor:
C., Senthamarai Kannan, R., Prashanna Rangan, Nithish K., Amanullah S., Akash K., S. P., Hari Prasaath
Publikováno v:
Journal of Engineering Science & Technology Review; 2022, Vol. 15 Issue 6, p15-19, 5p
Autor:
Adarsh Jagan Sathyamoorthy, Utsav Patel, Moumita Paul, Nithish K Sanjeev Kumar, Yash Savle, Dinesh Manocha
We present CoMet, a novel approach for computing a group's cohesion and using that to improve a robot's navigation in crowded scenes. Our approach uses a novel cohesion-metric that builds on prior work in social psychology. We compute this metric by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28983c5f7a2fe76571c222344f3324f4
Publikováno v:
Concurrency and Computation: Practice and Experience. 33
Akademický článek
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