Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Vishnunandan"'
Publikováno v:
Indian Journal of Community Medicine, Vol 49, Iss 7, Pp 103-104 (2024)
Background: People’s thoughts and feelings about their own bodies are related to their body image. Adolescents want to gain or lose weight in order to achieve the ideal physique in today’s culture due to the developing notion of ideal body image.
Externí odkaz:
https://doaj.org/article/f94105a593804924ade2400bcaf0d790
Autor:
Gupte, Arjun, Wang, Ruiqi, Venkatesh, Vishnunandan L. N., Kim, Taehyeon, Zhao, Dezhong, Min, Byung-Cheol
Multi-human multi-robot teams combine the complementary strengths of humans and robots to tackle complex tasks across diverse applications. However, the inherent heterogeneity of these teams presents significant challenges in initial task allocation
Externí odkaz:
http://arxiv.org/abs/2409.16266
Learning from Demonstration (LfD) is a promising approach to enable Multi-Robot Systems (MRS) to acquire complex skills and behaviors. However, the intricate interactions and coordination challenges in MRS pose significant hurdles for effective LfD.
Externí odkaz:
http://arxiv.org/abs/2404.02324
Incorporating language comprehension into robotic operations unlocks significant advancements in robotics, but also presents distinct challenges, particularly in executing spatially oriented tasks like pattern formation. This paper introduces ZeroCAP
Externí odkaz:
http://arxiv.org/abs/2404.02318
Autor:
Kim, Gyeongmin, Kim, Taehyeon, Kannan, Shyam Sundar, Venkatesh, Vishnunandan L. N., Kim, Donghan, Min, Byung-Cheol
Mobile robots often rely on pre-existing maps for effective path planning and navigation. However, when these maps are unavailable, particularly in unfamiliar environments, a different approach become essential. This paper introduces DynaCon, a novel
Externí odkaz:
http://arxiv.org/abs/2309.16031
In this work, we introduce SMART-LLM, an innovative framework designed for embodied multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models (LLMs), harnesses the power of LLMs to convert high-level task
Externí odkaz:
http://arxiv.org/abs/2309.10062
Autor:
Kannan, Shyam Sundar, Venkatesh, Vishnunandan L. N., Senthilkumaran, Revanth Krishna, Min, Byung-Cheol
In this paper, a new demonstration-based path-planning framework for the visual inspection of large structures using UAVs is proposed. We introduce UPPLIED: UAV Path PLanning for InspEction through Demonstration, which utilizes a demonstrated traject
Externí odkaz:
http://arxiv.org/abs/2303.04284
Autor:
Gonzalez, Glebys T., Kaur, Upinder, Rahma, Masudur, Venkatesh, Vishnunandan, Sanchez, Natalia, Hager, Gregory, Xue, Yexiang, Voyles, Richard, Wachs, Juan
Publikováno v:
Published in MHSRS 2020
Short response time is critical for future military medical operations in austere settings or remote areas. Such effective patient care at the point of injury can greatly benefit from the integration of semi-autonomous robotic systems. To achieve aut
Externí odkaz:
http://arxiv.org/abs/2011.15100
Autor:
Praveen, Abbaraju, Ma, Xin, Manoj, Harikrishnan, Venkatesh, Vishnunandan LN., Rastgaar, Mo, Voyles, Richard M.
Publikováno v:
2020 IEEE International Conference on Intelligent Robots and Systems (IROS)
Inspection for structural properties (surface stiffness and coefficient of restitution) is crucial for understanding and performing aerial manipulations in unknown environments, with little to no prior knowledge on their state. Inspection-on-the-fly
Externí odkaz:
http://arxiv.org/abs/2010.09605
Autor:
Balakuntala, Mythra V., Venkatesh, Vishnunandan L. N., Bindu, Jyothsna Padmakumar, Voyles, Richard M., Wachs, Juan
Humans generally teach their fellow collaborators to perform tasks through a small number of demonstrations. The learnt task is corrected or extended to meet specific task goals by means of coaching. Adopting a similar framework for teaching robots t
Externí odkaz:
http://arxiv.org/abs/1905.04841