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pro vyhledávání: '"ARVIN, Farshad"'
Autor:
Na, Seongin, Rouček, Tomáš, Ulrich, Jiří, Pikman, Jan, Krajník, Tomáš, Lennox, Barry, Arvin, Farshad
The recent advancement of Deep Reinforcement Learning (DRL) contributed to robotics by allowing automatic controller design. The automatic controller design is a crucial approach for designing swarm robotic systems, which require more complex control
Externí odkaz:
http://arxiv.org/abs/2202.01141
Publikováno v:
In Swarm and Evolutionary Computation April 2024 86
This paper presents a sensor-level mapless collision avoidance algorithm for use in mobile robots that map raw sensor data to linear and angular velocities and navigate in an unknown environment without a map. An efficient training strategy is propos
Externí odkaz:
http://arxiv.org/abs/2102.10711
Akademický článek
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Autor:
Amjadi, Arash S., Raoufi, Mohsen, Turgut, Ali E., Broughton, George, Krajník, Tomáš, Arvin, Farshad
Using robots for exploration of extreme and hazardous environments has the potential to significantly improve human safety. For example, robotic solutions can be deployed to find the source of a chemical leakage and clean the contaminated area. This
Externí odkaz:
http://arxiv.org/abs/1907.09585
Collective motion is one of the most fascinating phenomena observed in the nature. In the last decade, it aroused so much attention in physics, control and robotics fields. In particular, many studies have been done in swarm robotics related to colle
Externí odkaz:
http://arxiv.org/abs/1904.03230
This paper proposes an intuitive human-swarm interaction framework inspired by our childhood memory in which we interacted with living ants by changing their positions and environments as if we were omnipotent relative to the ants. In virtual reality
Externí odkaz:
http://arxiv.org/abs/1903.10064
Publikováno v:
In IFAC PapersOnLine 2023 56(2):3447-3452
Publikováno v:
In Automatica June 2022 140
Publikováno v:
In Aerospace Science and Technology April 2022 123