3 papers
cs.RO2025
Experience-based Optimal Motion Planning Algorithm for Solving Difficult Planning Problems Using a Limited Dataset
Ryota Takamido, Jun Ota
This study aims to address the key challenge of obtaining a high-quality solution path within a short calculation time by generalizing a limited dataset. In the informed experience…
cs.HC2025
PassAI: explainable artificial intelligence algorithm for soccer pass analysis using multimodal information resources
Ryota Takamido, Jun Ota, Hiroki Nakamoto
This study developed a new explainable artificial intelligence algorithm called PassAI, which classifies successful or failed passes in a soccer game and explains its rationale usi…
cs.HC2024
Understanding whole-body inter-personal dynamics between two players using neural Granger causality as the explainable AI (XAI)
Ryota Takamido, Chiharu Suzuki, Jun Ota +1
Background: Simultaneously focusing on intra- and inter-individual body dynamics and elucidating how these affect each other will help understand human inter-personal coordination…