Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Shah Naman"'
Autor:
Sunil B Rao, R Nageswar Rao, V C Sunil Kumar, Roopa Babannavar, Manjunath Muniyappa, Shah Naman
Publikováno v:
Endodontology, Vol 30, Iss 1, Pp 32-37 (2018)
Aim and objective: This study aims to compare the efficacy of root canal cleanliness using hand instrumentation and ultrasonic handpiece under the scanning electron microscope. Materials and Methods: Forty five central incisor were collected and acce
Externí odkaz:
https://doaj.org/article/fdb308ec6d8e482cafe895cb22dd57f7
Autor:
Karia, Rushang, Nagpal, Jayesh, Dobhal, Daksh, Verma, Pulkit, Nayyar, Rashmeet Kaur, Shah, Naman, Srivastava, Siddharth
Understanding how robots plan and execute tasks is crucial in today's world, where they are becoming more prevalent in our daily lives. However, teaching non-experts, such as K-12 students, the complexities of robot planning can be challenging. This
Externí odkaz:
http://arxiv.org/abs/2404.00808
Hand-crafted, logic-based state and action representations have been widely used to overcome the intractable computational complexity of long-horizon robot planning problems, including task and motion planning problems. However, creating such represe
Externí odkaz:
http://arxiv.org/abs/2402.11871
Autor:
Shah, Naman, Srivastava, Siddharth
This paper addresses the problem of reliably and efficiently solving broad classes of long-horizon stochastic path planning problems. Starting with a vanilla RL formulation with a stochastic dynamics simulator and an occupancy matrix of the environme
Externí odkaz:
http://arxiv.org/abs/2210.00068
Autor:
Shah, Naman, Srivastava, Siddharth
This paper addresses the problem of learning abstractions that boost robot planning performance while providing strong guarantees of reliability. Although state-of-the-art hierarchical robot planning algorithms allow robots to efficiently compute lon
Externí odkaz:
http://arxiv.org/abs/2202.00907
This paper presents JEDAI, an AI system designed for outreach and educational efforts aimed at non-AI experts. JEDAI features a novel synthesis of research ideas from integrated task and motion planning and explainable AI. JEDAI helps users create hi
Externí odkaz:
http://arxiv.org/abs/2111.00585
Autor:
Shah, Naman, Srivastava, Siddharth
In order to solve complex, long-horizon tasks, intelligent robots need to carry out high-level, abstract planning and reasoning in conjunction with motion planning. However, abstract models are typically lossy and plans or policies computed using the
Externí odkaz:
http://arxiv.org/abs/2108.12537
Robot motion planning involves computing a sequence of valid robot configurations that take the robot from its initial state to a goal state. Solving a motion planning problem optimally using analytical methods is proven to be PSPACE-Hard. Sampling-b
Externí odkaz:
http://arxiv.org/abs/2012.00658
Autor:
Mishra Neelima, Anvikar Anupkumar R, Shah Naman K, Kamal Vineet, Sharma Surya, Srivastava Harish, Das Manoj, Pradhan Khageswar, Kumar Hemant, Gupta Yogendra K, Gupta Pooja, Dash Aditya, Valecha Neena
Publikováno v:
Malaria Journal, Vol 10, Iss 1, p 360 (2011)
Abstract Background The World Health Organization has urged all member states to deploy artemisinin-based combination therapy and progressively withdraw oral artemisinin monotherapies from the market due to their high recrudescence rates and to reduc
Externí odkaz:
https://doaj.org/article/f3024f3b84a94052b888e32ecaeb5549
Autor:
Bahl Sunil, Khaparde Sunil D, Jain Vibhour, Talyan Ashok, Shah Naman K, Hutin Yvan, Wenger Jay
Publikováno v:
BMC Public Health, Vol 10, Iss 1, p 243 (2010)
Abstract Background In India, children who are traveling during mass immunization campaigns for polio represent a substantial component of the total target population. These children are not easily accessible to health workers and may thus not receiv
Externí odkaz:
https://doaj.org/article/1da899452f154b1b9dfc0ec697f35bec