Search Results - "Obradovic, Juraj"
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1
Remote-Access Marine Robotics Infrastructure and Experiments at LABUST
Published in Journal of marine science and engineering (01-02-2024)“…Marine robotics is a complex field with a potentially high demanding logistics and high deployment cost. This is a barrier to many research groups. On the…”
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Journal Article -
2
LIDAR-based USV close approach to vessels for manipulation purposes
Published in OCEANS 2022, Hampton Roads (17-10-2022)“…Unmanned Surface Vehicles (USVs) are used in a variety of applications today. They can also be used in multi-robot systems together with Unmanned Underwater…”
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Conference Proceeding -
3
MARUS - A Marine Robotics Simulator
Published in OCEANS 2022, Hampton Roads (17-10-2022)“…Marine robotics requires high quality simulators due to complexity and availability of trials at sea. While there are several simulators in the literature,…”
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Conference Proceeding -
4
Creating a remote access-ready infrastructure for the future
Published in OCEANS 2022 - Chennai (21-02-2022)“…Due to its inherent characteristics, marine robotics trials require more complex logistics when compared to other robotics fields. Often, high potential…”
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Conference Proceeding -
5
Navigation, Guidance and Control of a catamaran robust to external disturbances
Published in OCEANS 2023 - Limerick (05-06-2023)“…This paper includes the implementation of navigation, guidance, and control algorithms for the catamaran-shaped autonomous surface vehicle (ASV) with a…”
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Conference Proceeding -
6
Decentralized Multi-Robot Formation Control Using Reinforcement Learning
Published 26-06-2023“…This paper presents a decentralized leader-follower multi-robot formation control based on a reinforcement learning (RL) algorithm applied to a swarm of small…”
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Journal Article -
7
Decentralized Multi-Robot Formation Control Using Reinforcement Learning
Published in 2023 XXIX International Conference on Information, Communication and Automation Technologies (ICAT) (11-06-2023)“…This paper presents a decentralized leader-follower multi-robot formation control based on a reinforcement learning (RL) algorithm applied to a swarm of small…”
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Conference Proceeding