Regression and Mental Models for Decision Making on Robotic Biped Goalkeepers

Masterjohn, Joseph; Polceanu, Mihai; Jarrett, Julian; Seekircher, Andreas; Buche, Cédric; Visser, Ubbo

doi:10.1007/978-3-319-29339-4_15

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…In attempt to overcome these shortcomings, we have developed a generic agent architecture, which has mental simulation as its core mechanism for decision‐making, using analogical representations . The genericity of the open‐source architecture was shown by instantiating it into agents within environments with varying complexity such as continuous space, real time, two and three spatial dimensions, and varying embodiments . The cognitive process implemented in our work is described in Figure , which constitutes the conceptual framework to enable the capabilities studied in this paper.…”

Section: Discussionmentioning

confidence: 99%

Computational mental simulation: A review

Polceanu

Buche

2016

Computer Animation & Virtual

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International audienceThis paper is dedicated to the study of existing approaches that explicitly use mental simulation. Current implementations of the mental simulation paradigm, taken together, computationally address many aspects suggested by cognitive science research. Agents are able to find solutions to nontrivial scenarios in virtual or physical environments. Existing systems also learn new behavior by imitation of others similar to them and model the behavior of different others with the help of specialized models, culminating with the collaboration between agents and humans. Approaches that use self models are able to mentally simulate interaction and to learn about their own physical properties. Multiple mental simulations are used to find solutions to tasks, for truth maintenance, and contradiction detection. However, individual approaches do not cover all of the contexts of mental simulation and most rely on techniques which are only suitable for subsets of obtainable functionality. This review spans through four perspectives on the functionality of state-of-the-art artificial intelligence applications, while linking them to cognitive science research results. Finally, an overview identifies the main gaps in existing literature on computational mental simulation and provides our suggestions for future development

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Section: Discussionmentioning

confidence: 99%

Computational mental simulation: A review

Polceanu

Buche

2016

Computer Animation & Virtual

Self Cite

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“…They first established a free motion model for the ball and predicted its position after a certain amount of time to determine whether the goalkeeper should dive and in which direction. Masterjohn et al [160] used two methods to improve the goalkeeper's efficiency. The first method was similar to Huang et al [159]'s approach and used linear regression and Kalman filtering to estimate the ball's position.…”

Section: Defensive Tacticsmentioning

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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