Information Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 121755 - 121755
Published: Dec. 1, 2024
Language: Английский
Information Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 121755 - 121755
Published: Dec. 1, 2024
Language: Английский
Information Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 122038 - 122038
Published: Feb. 1, 2025
Language: Английский
Citations
1Published: Feb. 11, 2025
Path planning is widely applied in various fields, including robotic movement and 3D printing. In this paper, we propose a path method by combining formal concept analysis the Q-learning algorithm to study grid map planning. First, represented as context, based on theory, necessary region concepts are defined introduced into obtain optimal path. Finally, through system experiments, it has been proven that using can reduce redundant information effectiveness of method. The experimental results demonstrate identify an with fewer inflection points. This may provide new way achieve analysis.
Language: Английский
Citations
0Information Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 121755 - 121755
Published: Dec. 1, 2024
Language: Английский
Citations
0