Frontiers in Robotics and AI | Robot Learning and Evolution

Original Research

Published on 14 Feb 2025

Adaptive formation learning control for cooperative AUVs under complete uncertainty

in Robot Learning and Evolution

Emadodin Jandaghi
Mingxi Zhou
Paolo Stegagno
Chengzhi Yuan

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1491907

184 views

Methods

Published on 10 Feb 2025

HPRS: hierarchical potential-based reward shaping from task specifications

in Robot Learning and Evolution

Luigi Berducci
Edgar A. Aguilar
Dejan Ničković
Radu Grosu

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1444188

330 views

Original Research

Published on 03 Feb 2025

Deep reinforcement learning for time-critical wilderness search and rescue using drones

in Robot Learning and Evolution

Jan-Hendrik Ewers
David Anderson
Douglas Thomson

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1527095

401 views

Original Research

Published on 21 Jan 2025

Global progress in competitive co-evolution: a systematic comparison of alternative methods

in Robot Learning and Evolution

Stefano Nolfi
Paolo Pagliuca

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1470886

416 views

Methods

Published on 15 Nov 2024

How to arrange the robotic environment? Leveraging experience in both motion planning and environment optimization

in Robot Learning and Evolution

Jiaxi Lu
Ryota Takamido
Yusheng Wang
Jun Ota

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1468385

564 views

Original Research

Published on 05 Nov 2024

Evolutionary robotics as a modelling tool in evolutionary biology

in Robot Learning and Evolution

Alan F. T. Winfield

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1278983

861 views

Review

Published on 05 Nov 2024

Survey of learning-based approaches for robotic in-hand manipulation

in Robot Learning and Evolution

Abraham Itzhak Weinberg
Alon Shirizly
Osher Azulay
Avishai Sintov

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1455431

2,422 views

Original Research

Published on 04 Nov 2024

Addressing catastrophic forgetting in payload parameter identification using incremental ensemble learning

in Robot Learning and Evolution

Wael Taie
Khaled ElGeneidy
Ali Al-Yacoub
Ronglei Sun

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1470163

660 views

Original Research

Published on 10 Oct 2024

Incremental learning of humanoid robot behavior from natural interaction and large language models

in Robot Learning and Evolution

Leonard Bärmann
Rainer Kartmann
Fabian Peller-Konrad
Jan Niehues
Alex Waibel
Tamim Asfour

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1455375

2,307 views
4 citations

Original Research

Published on 02 Sep 2024

Tangle- and contact-free path planning for a tethered mobile robot using deep reinforcement learning

in Robot Learning and Evolution

Ryuki Shimada
Genya Ishigami

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1388634

1,310 views

Hypothesis and Theory

Published on 23 Jul 2024

Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference

in Robot Learning and Evolution

Tadahiro Taniguchi

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1353870

2,826 views
4 citations

Original Research

Published on 18 Jul 2024

Semantic learning from keyframe demonstration using object attribute constraints

in Robot Learning and Evolution

Busra Sen
Jos Elfring
Elena Torta
René van de Molengraft

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1340334

1,130 views

Original Research

Published on 14 Jun 2024

Hybrid controller with neural network PID/FOPID operations for two-link rigid robot manipulator based on the zebra optimization algorithm

in Robot Learning and Evolution

Mohamed Jasim Mohamed
Bashra Kadhim Oleiwi
Ahmad Taher Azar
Ahmed Redha Mahlous

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1386968

1,170 views

Original Research

Published on 16 Apr 2024

Decentralized multi-agent reinforcement learning based on best-response policies

in Robot Learning and Evolution

Volker Gabler
Dirk Wollherr

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1229026

2,604 views

Original Research

Published on 13 Mar 2024

General value functions for fault detection in multivariate time series data

in Robot Learning and Evolution

Andy Wong
Mehran Taghian Jazi
Tomoharu Takeuchi
Johannes Günther
Osmar Zaïane

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1214043

2,346 views

Original Research

Published on 06 Feb 2024

Active learning strategies for robotic tactile texture recognition tasks

in Robot Learning and Evolution

Shemonto Das
Vinicius Prado da Fonseca
Amilcar Soares

Frontiers in Robotics and AI

doi 10.3389/frobt.2024.1281060

4,722 views
1 citation

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Articles

Adaptive formation learning control for cooperative AUVs under complete uncertainty

HPRS: hierarchical potential-based reward shaping from task specifications

Deep reinforcement learning for time-critical wilderness search and rescue using drones

Global progress in competitive co-evolution: a systematic comparison of alternative methods

How to arrange the robotic environment? Leveraging experience in both motion planning and environment optimization

Evolutionary robotics as a modelling tool in evolutionary biology

Survey of learning-based approaches for robotic in-hand manipulation

Addressing catastrophic forgetting in payload parameter identification using incremental ensemble learning

Incremental learning of humanoid robot behavior from natural interaction and large language models

Tangle- and contact-free path planning for a tethered mobile robot using deep reinforcement learning

Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference

Semantic learning from keyframe demonstration using object attribute constraints

Hybrid controller with neural network PID/FOPID operations for two-link rigid robot manipulator based on the zebra optimization algorithm

Decentralized multi-agent reinforcement learning based on best-response policies

General value functions for fault detection in multivariate time series data

Active learning strategies for robotic tactile texture recognition tasks