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Improving the performance of mutation-based evolving artificial neural networks with self-adaptive mutations

PloS one, 2024-07, Vol.19 (7), p.e0307084

2024

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Failure Mode Classification for Rolling Element Bearings Using Time-Domain Transformer-Based Encoder

Sensors (Basel, Switzerland), 2024-06, Vol.24 (12), p.3953

2024

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Topology and weight evolving artificial neural networks in cooperative transport by a robotic swarm

Artificial life and robotics, 2022, Vol.27 (2), p.324-332

2022

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Echo state networks for embodied evolution in robotic swarms

Artificial life and robotics, 2023-02, Vol.28 (1), p.139-147

2023

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Generating Collective Behavior of a Multi-Legged Robotic Swarm Using Deep Reinforcement Learning

Journal of robotics and mechatronics, 2023-08, Vol.35 (4), p.977-987

2023

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MBEANN for Robotic Swarm Controller Design and the Behavior Analysis for Cooperative Transport

Journal of robotics and mechatronics, 2023-08, Vol.35 (4), p.997-1006

2023

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When Less Is More in Embodied Evolution: Robotic Swarms Have Better Evolvability with Constrained Communication

Journal of robotics and mechatronics, 2023-08, Vol.35 (4), p.988-996

2023

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Effects of Congestion on Swarm Performance and Autonomous Specialization in Robotic Swarms

Journal of robotics and mechatronics, 2019-08, Vol.31 (4), p.526-534

2019

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Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach

Artificial life and robotics, 2022-11, Vol.27 (4), p.751-760

2022

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Generating collective behavior of a robotic swarm using an attention agent with deep neuroevolution

Artificial life and robotics, 2023-11, Vol.28 (4), p.669-679

2023

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An evolutionary robotics approach to a multi-legged robotic swarm in a rough terrain environment

Artificial life and robotics, 2023-11, Vol.28 (4), p.661-668

2023

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A hierarchical training method of generating collective foraging behavior for a robotic swarm

Artificial life and robotics, 2022-02, Vol.27 (1), p.137-141

2022

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Autonomous task allocation by artificial evolution for robotic swarms in complex tasks

Artificial life and robotics, 2019-03, Vol.24 (1), p.127-134

2019

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Evolving collective step-climbing behavior in multi-legged robotic swarm

Artificial life and robotics, 2022, Vol.27 (2), p.333-340

2022

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Evolving collective cognition for object identification in foraging robotic swarms

Artificial life and robotics, 2021-02, Vol.26 (1), p.21-28

2021

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Behavioral specialization emerges from the embodiment of a robotic swarm

Artificial life and robotics, 2020-11, Vol.25 (4), p.495-502

2020

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Evolving autonomous specialization in congested path formation task of robotic swarms

Artificial life and robotics, 2018-12, Vol.23 (4), p.547-554

2018

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Methods of Generating Collective Behavior in a Robotic Swarm: An Automatic Design Based on a Collective Intelligence Approach

Journal of The Society of Instrument and Control Engineers, 2020/02/10, Vol.59(2), pp.131-136

2020

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Flexible printed circuit-based triboelectric film sensor for integrity monitoring of tensile bolted joints

Engineering Research Express, 2024-08

2024

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TWEANN Approach to the Double Pole Balancing Problem: Feature Comparison Between NEAT and MBEANN

Transactions of the Institute of Systems, Control and Information Engineers, 2022/05/15, Vol.35(5), pp.126-132

2022

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Generating and Analyzing Collective Step-Climbing Behavior in a Multi-legged Robotic Swarm

Swarm Intelligence, 2022, p.324-331

2022

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二重倒立振子制御問題へのTWEANNアプローチ: NEATとMBEANNの特性比較

システム制御情報学会論文誌, 2022/05/15, Vol.35(5), pp.126-132

2022

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ロボティックスワームにおける群れ行動生成手法：計算知能アプローチによる自動的設計

計測と制御, 2020/02/10, Vol.59(2), pp.131-136

2020

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Generating and Analyzing Collective Behavior in a Robotic Swarm by the Use of Deep Reinforcement Learning and Deep Neuroevolution

Transactions of the Institute of Systems, Control and Information Engineers, 2020/05/15, Vol.33(5), pp.163-170

2020

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深層強化学習とDeep Neuroevolution によるロボティックスワームの群れ行動生成と解析

システム制御情報学会論文誌, 2020/05/15, Vol.33(5), pp.163-170

2020

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Improving the performance of mutation-based evolving artificial neural networks with self-adaptive mutations

Failure Mode Classification for Rolling Element Bearings Using Time-Domain Transformer-Based Encoder

Topology and weight evolving artificial neural networks in cooperative transport by a robotic swarm

Echo state networks for embodied evolution in robotic swarms

Generating Collective Behavior of a Multi-Legged Robotic Swarm Using Deep Reinforcement Learning

MBEANN for Robotic Swarm Controller Design and the Behavior Analysis for Cooperative Transport

When Less Is More in Embodied Evolution: Robotic Swarms Have Better Evolvability with Constrained Communication

Effects of Congestion on Swarm Performance and Autonomous Specialization in Robotic Swarms

Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach

Generating collective behavior of a robotic swarm using an attention agent with deep neuroevolution

An evolutionary robotics approach to a multi-legged robotic swarm in a rough terrain environment

A hierarchical training method of generating collective foraging behavior for a robotic swarm

Autonomous task allocation by artificial evolution for robotic swarms in complex tasks

Evolving collective step-climbing behavior in multi-legged robotic swarm

Evolving collective cognition for object identification in foraging robotic swarms

Behavioral specialization emerges from the embodiment of a robotic swarm

Evolving autonomous specialization in congested path formation task of robotic swarms

Methods of Generating Collective Behavior in a Robotic Swarm: An Automatic Design Based on a Collective Intelligence Approach

Flexible printed circuit-based triboelectric film sensor for integrity monitoring of tensile bolted joints

TWEANN Approach to the Double Pole Balancing Problem: Feature Comparison Between NEAT and MBEANN

Generating and Analyzing Collective Step-Climbing Behavior in a Multi-legged Robotic Swarm

二重倒立振子制御問題へのTWEANNアプローチ: NEATとMBEANNの特性比較

ロボティックスワームにおける群れ行動生成手法：計算知能アプローチによる自動的設計

Generating and Analyzing Collective Behavior in a Robotic Swarm by the Use of Deep Reinforcement Learning and Deep Neuroevolution

深層強化学習とDeep Neuroevolution によるロボティックスワームの群れ行動生成と解析

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