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of 109
pro vyhledávání: '"Prithviraj Dasgupta"'
Multi-robot informative path planning in unknown environments through continuous region partitioning
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
We consider the NP-hard problem of multirobot informative path planning in the presence of communication constraints, where the objective is to collect higher amounts of information of an ambient phenomenon. We propose a novel approach that uses cont
Externí odkaz:
https://doaj.org/article/b5d6b5f5672143338963df170ed40842
Publikováno v:
Robotics, Vol 4, Iss 3, Pp 316-340 (2015)
Multi-robot task allocation (MRTA) is an important area of research in autonomous multi-robot systems. The main problem in MRTA is to allocate a set of tasks to a set of robots so that the tasks can be completed by the robots while ensuring that a ce
Externí odkaz:
https://doaj.org/article/01140e4fb6084ab2bfbcfeac36cb814f
Autor:
Olimpiya Saha, Prithviraj Dasgupta
Publikováno v:
Robotics, Vol 7, Iss 3, p 47 (2018)
Cloud robotics has recently emerged as a collaborative technology between cloud computing and service robotics enabled through progress in wireless networking, large scale storage and communication technologies, and the ubiquitous presence of Interne
Externí odkaz:
https://doaj.org/article/de45e0a60e704466bb462c58c765753e
Publikováno v:
Journal of Robotics, Vol 2015 (2015)
We consider the problem of autonomous landmine detection using a team of mobile robots. Previous research on robotic landmine detection mostly employs a single robot equipped with a landmine detection sensor to detect landmines. We envisage that the
Externí odkaz:
https://doaj.org/article/1a492b4e37624d9ab83bac0a04fd82cd
Autor:
Eric S. Vorm, Prithviraj Dasgupta
Publikováno v:
IEEE Intelligent Systems. 35:112-116
The technology development of Artificial Intelligence (AI) in the U.S. Department of Defense (DoD) is proceeding at an unprecedented pace, with record breaking levels of funding to support unprecedented breakthroughs. As these technologies progress t
Optical Flow-Based Place Recognition: Bridging the Gap Between Simulation and Real-World Experiments
Publikováno v:
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC).
Publikováno v:
Autonomous Robots. 44:721-737
We consider the problem of simultaneous exploration and information collection in an initially unknown environment by multiple autonomous robots when the communication between robots is unreliable and intermittent. We propose a novel algorithm where
Autor:
Managing Editor, Aaron Adler, Prithviraj Dasgupta, Nick DePalma, Mohammed Eslami, Richard Freedman, John Laird, Christian Lebiere, Katrin Lohan, Ross Mead, Mark Roberts, Paul Rosenbloom, Emmanuel Senft, Frank Stein, Tom Williams, Kyle Hollins Wray, Fusun Yaman, Shlomo Zilberstein
Publikováno v:
AI Magazine. 40:66-72
The AAAI 2018 Fall Symposium Series was held Thursday through Saturday, October 18–20, at the Westin Arlington Gateway in Arlington, Virginia, adjacent to Washington, D.C. The titles of the eight symposia were Adversary-Aware Learning Techniques an
Publikováno v:
Autonomous Robots. 43:2071-2093
We consider the problem of path planning in an initially unknown environment where a robot does not have an a priori map of its environment but has access to prior information accumulated by itself from navigation in similar but not identical environ
Autor:
Prithviraj Dasgupta
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Imitation learning has been shown to be a successful learning technique in scenarios where autonomous agents have to adapt their operation across diverse environments or domains. The main principle underlying imitation learning is to determine a stat