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08/03/2023
A Compliant Robotic Leg Based on Fibre Jamming
Humans possess a remarkable ability to react to sudden and unpredictable...
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12/13/2022
A Comprehensive Dataset of Grains for Granular Jamming in Soft Robotics: Grip Strength and Shock Absorption
We test grip strength and shock absorption properties of various granula...
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12/13/2022
Active Vibration Fluidization for Granular Jamming Grippers
Granular jamming has recently become popular in soft robotics with wides...
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12/13/2022
The Jamming Donut: A Free-Space Gripper based on Granular Jamming
Fruit harvesting has recently experienced a shift towards soft grippers ...
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12/11/2022
Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge
Human operators in human-robot teams are commonly perceived to be critic...
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11/25/2022
Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization
In recent years, soft robotic grasping has rapidly spread through the ac...
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05/17/2022
EvoRobogami: Co-designing with Humans in Evolutionary Robotics Experiments
We study the effects of injecting human-generated designs into the initi...
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03/29/2022
Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning
Curriculum learning allows complex tasks to be mastered via incremental ...
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11/02/2021
Getting a Grip: in Materio Evolution of Membrane Morphology for Soft Robotic Jamming Grippers
The application of granular jamming in soft robotics is a recent and pro...
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09/22/2021
Vibration Improves Performance in Granular Jamming Grippers
Granular jamming is a popular soft robotics technology that has seen rec...
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09/10/2021
Jammkle: Fibre jamming 3D printed multi-material tendons and their application in a robotic ankle
Fibre jamming is a relatively new and understudied soft robotic mechanis...
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09/10/2021
Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad)
We propose a novel iterative approach for crossing the reality gap that ...
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04/09/2021
Shape, Size, and Fabrication Effects in 3D Printed Granular Jamming Grippers
Granular jamming is a popular soft actuation mechanism that provides hig...
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11/24/2020
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
Legged robots are popular candidates for missions in challenging terrain...
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06/05/2020
Path Towards Multilevel Evolution of Robots
Multi-level evolution is a bottom-up robotic design paradigm which decom...
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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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04/17/2020
Diversity-based Design Assist for Large Legged Robots
We combine MAP-Elites and highly parallelisable simulation to explore th...
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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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03/03/2020
Traversing the Reality Gap via Simulator Tuning
The large demand for simulated data has made the reality gap a problem o...
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02/23/2020
Crossing the Reality Gap with Evolved Plastic Neurocontrollers
A critical issue in evolutionary robotics is the transfer of controllers...
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11/05/2019
Benchmarking Simulated Robotic Manipulation through a Real World Dataset
We present a benchmark to facilitate simulated manipulation; an attempt ...
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10/17/2019
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors
The Lobula Giant Movement Detector (LGMD) is an identified neuron of the...
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03/04/2019
Evolving Spiking Neural Networks for Nonlinear Control Problems
Spiking Neural Networks are powerful computational modelling tools that ...
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01/21/2019
Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design
We compare two representations used to define the morphology of legs for...
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01/17/2019
Evolving embodied intelligence from materials to machines
Natural lifeforms specialise to their environmental niches across many l...
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11/05/2018
Quantifying the Reality Gap in Robotic Manipulation Tasks
We quantify the accuracy of various simulators compared to a real world ...
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10/11/2018
Towards the Targeted Environment-Specific Evolution of Robot Components
This research considers the task of evolving the physical structure of a...
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04/17/2017
Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance
The Lobula Giant Movement Detector (LGMD) is a an identified neuron of t...
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09/01/2015
Evolving Unipolar Memristor Spiking Neural Networks
Neuromorphic computing --- brainlike computing in hardware --- typically...
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08/31/2015