Fernando Ardilla

According to our database, Fernando Ardilla authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Egocentric Behavior Analysis Based on Object Relationship Extraction with Graph Transfer Learning for Cognitive Rehabilitation Support.

Adnan Rachmat Anom Besari, Fernando Ardilla, Azhar Aulia Saputra, Kurnianingsih, Takenori Obo, Naoyuki Kubota

J. Adv. Comput. Intell. Intell. Informatics, January, 2025

2024

Neuro-Cognitive Inspired Deep Learning for Enhanced Navigation in No-Till Agriculture Using Multisensory Data.

Anhar Risnuma Wan, Fernando Ardilla, Yoshimasa Nakamura, Naoyuki Kubota

Proceedings of the International Conference on Machine Learning and Cybernetics, 2024

Egocentric Behaviour Analysis Based on Object Relationship Extraction for Cognitive Rehabilitation Support.

Adnan Rachmat Anom Besari, Syadza Atika Rahmah, Fernando Ardilla, Azhar Aulia Saputra, Takenori Obo, Naoyuki Kubota

Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

2023

Multi-Scale Batch-Learning Growing Neural Gas Efficiently for Dynamic Data Distributions.

Fernando Ardilla, Azhar Aulia Saputra, Naoyuki Kubota

Int. J. Autom. Technol., May, 2023

2022

Topological mapping based on perceiving-acting cycle in sharing cognitive environments for robot partners.

Fernando Ardilla, Mohamad Yani, Azhar Aulia Saputra, Wei Hong Chin, Naoyuki Kubota

Commun. Inf. Syst., 2022

Topological Twin for Mobility Support Robots.

Fernando Ardilla, Azhar Aulia Saputra, Adnan Rachmat Anom Besari, Naoki Doteguchi, Kohei Oshio, Takenori Obo, Naoyuki Kubota

Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Batch Learning Growing Neural Gas for Sequential Point Cloud Processing.

Fernando Ardilla, Azhar Aulia Saputra, Naoyuki Kubota

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021

Gradient-Free Deep Q-Networks Reinforcement learning: Benchmark and Evaluation.

Mohamad Yani, Fernando Ardilla, Azhar Aulia Saputra, Naoyuki Kubota

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021