Dynamic Kick Optimization Of Humanoid Robot Based on Options Framework

He, Hao; Liang, Zhiwei; Lu, Yulei; Xu, Chengxi; Yang, Ben; Fang, Fang

doi:10.1109/ccdc.2019.8833269

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…This means that individual skills cannot be optimized alone and different skills' transitions need to be considered. Hierarchical optimization methods [1,40,[68][69][70]80] have been used to optimize multiple skills, fixing lower-level parameters to ensure continuous optimization between different skills and maintaining the effectiveness of individual skills during continuous execution. To adapt to the width of the article page, we have defined some abbreviations to shorten the length of each line.…”

Section: Optimization Methods For Generating Skills Based On Modelsmentioning

confidence: 99%

A survey of research on several problems in the RoboCup3D simulation environment

Gao,

Yi,

Jin

et al. 2024

Auton Agent Multi-Agent Syst

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In the process of robot research and development, due to the vulnerability of hardware, simulation environment is often used to verify and test algorithms first. RoboCup3D simulation environment is developed based on open dynamic engine, and the humanoid robot NAO is modeled as the main robot, which provides a simulation platform for humanoid robot researchers to study robot movements. At the same time, it is also the official platform of RoboCup 3D events. Under the rules of soccer robot competition, it is helpful for the research of multi-robots, especially multi-humanoid robots' cooperation strategy. This paper summarizes the related research in RoboCup3D simulation environment, and first introduces the basic problems existing in this simulation environment. Secondly, the research of robot motion generation and optimization based on model and nonmodel in simulation environment is introduced respectively. Then, it introduces the related research of cooperation strategy design of multi-humanoid robots under RoboCup3D rules, including positioning, dynamic role assignment, etc. And sort out a typical practical solution to the above problems; Finally, the future development trend of related research in RoboCup3D simulation environment is analyzed.

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Section: Optimization Methods For Generating Skills Based On Modelsmentioning

confidence: 99%

A survey of research on several problems in the RoboCup3D simulation environment

Gao,

Yi,

Jin

et al. 2024

Auton Agent Multi-Agent Syst

View full text Add to dashboard Cite

show abstract

“…The IRIS robot weighs 37 kg and dimensions of 45 cm long, 45 cm wide, and 70 cm high. The robot uses 4 Omni wheels so that it can move in any direction. The motion speed of the robot in the simulator is adjusted to the speed of the real robot in the field.…”

Section: Iris Robotmentioning

confidence: 99%

“…There are two main categories in RoboCup for soccer, the humanoid soccer robot category, and the wheeled soccer robot category. Some works on humanoid soccer robot developments have been carried out in [2]- [4]. The developments focus on developing the robot motions and internal movements such as balance and robot dynamics, starting from kid size, teen size, and adult size.…”

Section: Introductionmentioning

confidence: 99%

Advance Attack and Defense Strategy Algorithm With Dynamic Role Assignment for Wheeled Soccer Robot

Dikairono

Setiawardhana

Budiman

et al. 2021

kursor

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Game strategy is one of the most critical parts of winning a soccer robot match and cannot be separated from the cooperation among robots in making movements to score goals. In this paper, a wheeled soccer robot game strategy called advance attack and defense has been developed. The strategy is combined with dynamic role assignment, in which robot can change from an attacker to a defender and vice versa. Defender robots are not only based on defensive area but will always block opposing attacker to score goal. The attack strategy performs a rotational trajectory for attacker robot to overpass opponent robot. This strategy has been proven to increase defense and attack effectiveness. Test results using soccer robot gameplay environment simulator developed by Institut Teknologi Sepuluh Nopember Robot with Intelligent System (IRIS) team show that the advance strategies are superior compared with basic strategies. In 30 matches, the advance dynamic strategy won 80%, drew 6.7%, and obtained the highest goal difference, 85 goals. The test was then verified with the implementation in the IRIS robots and showed the same performance. The developed game algorithms were tested in 2019 Indonesian wheeled soccer robot contest (KRSBI-B) and the IRIS team won the title.

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Generation a shooting on the walking for soccer simulation 3D league using Q-learning algorithm

Song

Rezaeipanah³

2021

J Ambient Intell Human Comput

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Dynamic Kick Optimization Of Humanoid Robot Based on Options Framework

Cited by 4 publications

References 6 publications

A survey of research on several problems in the RoboCup3D simulation environment

A survey of research on several problems in the RoboCup3D simulation environment

Advance Attack and Defense Strategy Algorithm With Dynamic Role Assignment for Wheeled Soccer Robot

Generation a shooting on the walking for soccer simulation 3D league using Q-learning algorithm

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