Francisco J. Valero Cuevas

Orcid: 0000-0002-2611-7923

Affiliations:
  • University of Southern California, Los Angeles, USA


According to our database1, Francisco J. Valero Cuevas authored at least 53 papers between 2000 and 2024.

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Bibliography

2024
Brain-Body-Task Co-Adaptation can Improve Autonomous Learning and Speed of Bipedal Walking.
CoRR, 2024

2023
Dynamical Analyses Show That Professional Archers Exhibit Tighter, Finer and More Fluid Dynamical Control Than Neophytes.
Entropy, October, 2023

2022
Bio-robots step towards brain-body co-adaptation.
Nat. Mac. Intell., September, 2022

Biological underpinnings for lifelong learning machines.
Nat. Mach. Intell., 2022

2021
Force variability is mostly not motor noise: Theoretical implications for motor control.
PLoS Comput. Biol., 2021

insideOut: A Bio-Inspired Machine Learning Approach to Estimating Posture in Robots Driven by Compliant Tendons.
Frontiers Neurorobotics, 2021

Estimating Center of Pressure of a Bipedal Mechanism Using a Proprioceptive Artificial Skin around its Ankles.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Data-efficient Causal Decoding of Spiking Neural Activity using Weighted Voting.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
The utility of tactile force to autonomous learning of in-hand manipulation is task-dependent.
CoRR, 2020

Sensory-Motor Gestalt: Sensation and Action as the Foundations of Identity, Agency, and Self.
Proceedings of the 2020 Conference on Artificial Life, 2020

A Bio-Inspired Framework for Joint Angle Estimation from Non-Collocated Sensors in Tendon-driven Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sampling-Based Nonlinear Stochastic Optimal Control for Neuromechanical Systems.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven Systems.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Autonomous functional movements in a tendon-driven limb via limited experience.
Nat. Mach. Intell., 2019

Editorial: Neuromechanics and Control of Physical Behavior: From Experimental and Computational Formulations to Bio-inspired Technologies.
Frontiers Comput. Neurosci., 2019

2018
Cardinal features of involuntary force variability can arise from the closed-loop control of viscoelastic afferented muscles.
PLoS Comput. Biol., 2018

A Physical Model Suggests That Hip-Localized Balance Sense in Birds Improves State Estimation in Perching: Implications for Bipedal Robots.
Frontiers Robotics AI, 2018

Feasibility Theory Reconciles and Informs Alternative Approaches to Neuromuscular Control.
Frontiers Comput. Neurosci., 2018

Autonomous Functional Locomotion in a Tendon-Driven Limb via Limited Experience.
CoRR, 2018

Quantifying and attenuating pathologic tremor in virtual reality.
CoRR, 2018

An Analytical Approach to Posture-Dependent Muscle Force and Muscle Activation Patterns.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Model-Free Control of Movement in a Tendon-Driven Limb via a Modified Genetic Algorithm.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Forearm Flexor Muscles in Children with Cerebral Palsy Are Weak, Thin and Stiff.
Frontiers Comput. Neurosci., 2017

Beta Band Corticomuscular Drive Reflects Muscle Coordination Strategies.
Frontiers Comput. Neurosci., 2017

On Neuromechanical Approaches for the Study of Biological Grasp and Manipulation.
CoRR, 2017

Shapechanger: Environments for Transfer Learning.
CoRR, 2017

The neural control of movement must contend with trajectory-specific and nonlinearly distorted manifolds of afferent muscle spindle activity.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Finger movements are mainly represented by a linear transformation of energy in band-specific ECoG signals.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Muscle Synergies Heavily Influence the Neural Control of Arm Endpoint Stiffness and Energy Consumption.
PLoS Comput. Biol., 2016

Slow Movements of Bio-Inspired Limbs.
J. Nonlinear Sci., 2016

The Dynamics of Voluntary Force Production in Afferented Muscle Influence Involuntary Tremor.
Frontiers Comput. Neurosci., 2016

Should Anthropomorphic Systems be "Redundant"?
Proceedings of the Biomechanics of Anthropomorphic Systems, 2016

2014
Optimizing the Topology of Tendon-Driven Fingers: Rationale, Predictions and Implementation.
Proceedings of the Human Hand as an Inspiration for Robot Hand Development, 2014

Anthropomorphic tendon-driven robotic hands can exceed human grasping capabilities following optimization.
Int. J. Robotics Res., 2014

2013
Spatio-temporal analysis reveals active control of both task-relevant and task-irrelevant variables.
Frontiers Comput. Neurosci., 2013

Capacity of small groups of muscles to accomplish precision grasping tasks.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
A Novel Synthesis of Computational Approaches Enables Optimization of Grasp Quality of Tendon-Driven Hands.
IEEE Trans. Robotics, 2012

Extrapolatable Analytical Functions for Tendon Excursions and Moment Arms From Sparse Datasets.
IEEE Trans. Biomed. Eng., 2012

Functional Inference of Complex Anatomical Tendinous Networks at a Macroscopic Scale via Sparse Experimentation.
PLoS Comput. Biol., 2012

Challenges and New Approaches to Proving the Existence of Muscle Synergies of Neural Origin.
PLoS Comput. Biol., 2012

2011
Neuromuscular stochastic optimal control of a tendon driven index finger model.
Proceedings of the American Control Conference, 2011

2010
Slower Visuomotor Corrections with Unchanged Latency are Consistent with Optimal Adaptation to Increased Endogenous Noise in the Elderly.
PLoS Comput. Biol., 2010

2009
Improving the Fitness of High-Dimensional Biomechanical Models via Data-Driven Stochastic Exploration.
IEEE Trans. Biomed. Eng., 2009

2008
Estimating Effective Degrees of Freedom in Motor Systems.
IEEE Trans. Biomed. Eng., 2008

Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation.
Biomed. Signal Process. Control., 2008

2007
The Tendon Network of the Fingers Performs Anatomical Computation at a Macroscopic Scale.
IEEE Trans. Biomed. Eng., 2007

Beyond Parameter Estimation: Extending Biomechanical Modeling by the Explicit Exploration of Model Topology.
IEEE Trans. Biomed. Eng., 2007

Growing form-filling tensegrity structures using map L-systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Design and control of tensegrity robots for locomotion.
IEEE Trans. Robotics, 2006

Reported anatomical variability naturally leads to multimodal distributions of Denavit-Hartenberg parameters for the human thumb.
IEEE Trans. Biomed. Eng., 2006

2005
Evolutionary form-finding of tensegrity structures.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2000
Applying Principles of Robotics to Understand the Biomechanics, Neuromuscular Control and Clinical Rehabilitation of Human Digits.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000


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