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05/02/2023
Evolution of linkages for prototyping of linkage based robots
Prototyping robotic systems is a time consuming process. Computer aided ...
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05/02/2023
Open-ended search for environments and adapted agents using MAP-Elites
Creatures in the real world constantly encounter new and diverse challen...
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10/14/2022
Central pattern generators evolved for real-time adaptation
For a robot to be both autonomous and collaborative requires the ability...
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06/27/2022
Centralized and Decentralized Control in Modular Robots and Their Effect on Morphology
In Evolutionary Robotics, evolutionary algorithms are used to co-optimiz...
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06/03/2022
Rapid rhythmic entrainment in bio-inspired central pattern generators
Entrainment of movement to a periodic stimulus is a characteristic intel...
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04/07/2021
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment
Designing robots by hand can be costly and time consuming, especially if...
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12/08/2020
MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics
In modular robotics, modules can be reconfigured to change the morpholog...
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08/05/2020
Quality and Diversity in Evolutionary Modular Robotics
In Evolutionary Robotics a population of solutions is evolved to optimiz...
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07/11/2020
A Framework for Automatic Behavior Generation in Multi-Function Swarms
Multi-function swarms are swarms that solve multiple tasks at once. For ...
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05/19/2020
On Restricting Real-Valued Genotypes in Evolutionary Algorithms
Real-valued genotypes together with the variation operators, mutation an...
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05/19/2020
Real World Morphological Evolution is Feasible
Evolutionary algorithms offer great promise for the automatic design of ...
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03/30/2020
Environmental Adaptation of Robot Morphology and Control through Real-world Evolution
Robots operating in the real world will experience a range of different ...
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12/21/2019
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition
Surface electromyography (sEMG) provides an intuitive and non-invasive i...
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12/16/2019
Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition
Within sEMG-based gesture recognition, a chasm exists in the literature ...
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05/14/2019
Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing
Robots are used in more and more complex environments, and are expected ...
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04/08/2019
Evolved embodied phase coordination enables robust quadruped robot locomotion
Overcoming robotics challenges in the real world requires resilient cont...
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02/15/2019
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image using CNN
Collaborative robots are becoming more common on factory floors as well ...
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02/12/2019
Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds
The complexity of a legged robot's environment or task can inform how sp...
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05/30/2018
Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network
A significant problem of using deep learning techniques is the limited a...
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05/09/2018
Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations
For robots to handle the numerous factors that can affect them in the re...
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05/08/2018
Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design
Evolutionary robotics has aimed to optimize robot control and morphology...
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04/06/2018
Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images
The field of collaborative robotics and human-robot interaction often fo...
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03/15/2018
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing
Robots need to be able to adapt to complex and dynamic environments for ...
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03/14/2018
Multi-objective Analysis of MAP-Elites Performance
In certain complex optimization tasks, it becomes necessary to use multi...
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01/10/2018
Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning
In recent years, the use of deep learning algorithms has become increasi...
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01/06/2018
