Zobrazeno 1 - 10
of 924
pro vyhledávání: '"K Niranjan"'
Autor:
Huang, Tianle, Sontakke, Nitish, Kumar, K. Niranjan, Essa, Irfan, Nikolaidis, Stefanos, Hong, Dennis W., Ha, Sehoon
Domain randomization (DR), which entails training a policy with randomized dynamics, has proven to be a simple yet effective algorithm for reducing the gap between simulation and the real world. However, DR often requires careful tuning of randomizat
Externí odkaz:
http://arxiv.org/abs/2310.10606
Humanoid robots are well suited for human habitats due to their morphological similarity, but developing controllers for them is a challenging task that involves multiple sub-problems, such as control, planning and perception. In this paper, we intro
Externí odkaz:
http://arxiv.org/abs/2310.06226
Real-world autonomous missions often require rich interaction with nearby objects, such as doors or switches, along with effective navigation. However, such complex behaviors are difficult to learn because they involve both high-level planning and lo
Externí odkaz:
http://arxiv.org/abs/2212.08954
Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning
We introduce a novel method to teach a robotic agent to interactively explore cluttered yet structured scenes, such as kitchen pantries and grocery shelves, by leveraging the physical plausibility of the scene. We propose a novel learning framework t
Externí odkaz:
http://arxiv.org/abs/2109.10460
We explore the problem of estimating the mass distribution of an articulated object by an interactive robotic agent. Our method predicts the mass distribution of an object by using the limited sensing and actuating capabilities of a robotic agent tha
Externí odkaz:
http://arxiv.org/abs/1907.03964
Autor:
Manish Tiwari, Monika Sodhi, Preeti Verma, Prince Vivek, Ranjit S. Kataria, Saket K. Niranjan, Vijay K. Bharti, Nampher Masharing, Gayatri Gujar, Divya Chanda, Manishi Mukesh
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract The identification of appropriate references genes is an integral component of any gene expression-based study for getting accuracy and reliability in data interpretation. In this study, we evaluated the expression stability of 10 candidate
Externí odkaz:
https://doaj.org/article/6542fb534f814ec489314228ee45f662
Autor:
Krishna, Ankit, Aravinda, L.S., Murugan, A., Kumar, N. Sharath, Sankar, Mamilla Ravi, Nagahanumaiah, Reddy, K. Niranjan, Balashanmugam, N.
Publikováno v:
In Surface & Coatings Technology 15 January 2022 429
Autor:
Krishna, Ankit, T., Gecil Evangeline, L.S., Aravinda, N., Sharath Kumar, K, Niranjan Reddy, N., Balashanmugam, Mamilla, Ravi Sankar
Publikováno v:
In Diamond & Related Materials November 2020 109
Publikováno v:
In Materials Today: Proceedings 2020 26 Part 2:1119-1125
Autor:
Basha, Ghouse, Ratnam, M. Venkat, Kumar, K. Niranjan, Ouarda, T.B.M.J., Kishore, P., Velicogna, Isabella
Publikováno v:
In Journal of Atmospheric and Solar-Terrestrial Physics June 2019 187:33-39