Estimation of Moving Obstacle Dynamics with Mobile RGB-D Camera

Germi, Saeed Bakhshi; Zamanian, Alireza; Arzati, Mojtaba Ahangar; Khosravi, Mohammad A.; Fesharakifard, Rasul

doi:10.1109/icrom.2017.8466139

Cited by 2 publications

(1 citation statement)

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“…In RoboCup, there was a lot of research on turning paths or spending a lot of points on attacks, but Paul researched taking and protecting targets not as much as attacks. In addition, the scenario has even less research studies in the tournament, so it is an area worth studying [8].…”

Section: Introductionmentioning

confidence: 99%

Cooperation Mode of Soccer Robot Game Based on Improved SARSA Algorithm

Zhan

2022

Wireless Communications and Mobile Computing

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Football is one of the most popular sports in the world, and its competition has received increasing people’s attention. With the increasing number of robot football competitions, more strategic planning is needed for robot football matches. In a tournament, each player has their own task and must have the skills to complete it. In this paper, we use the RoboCup2D platform to give details of the server and client roles, introduce the agent model in RoboCup2D, and compare the plan design and scheme design presented in the current study using the SARSA algorithm, one of the augmented methods classified as TD learning metrics. In addition, heuristic information was introduced and implemented to enhance learning through the sharing of Q values between participants and reinforcement learning. A comparative analysis of the feasibility of the SARSA algorithm in the context of its application in RoboCup2D was carried out, and the experimental results proved that our algorithm was effective in improving the team’s offensive and defensive capabilities.

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Section: Introductionmentioning

confidence: 99%