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ORCIDFrancisco J. Valero Cuevas
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- affiliation: University of Southern California, Los Angeles, USA
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2020 – today
- 2024
[c20]Ali Marjaninejad, Francisco J. Valero Cuevas:
Model-agnostic Bio-inspired Autonomous Lifelong-learning of Kinematic Control in Tendon-driven Quadruped Robots. BioRob 2024: 612-618- [c19]Romina Mir, Pegah Ojaghi, Andrew Erwin, Ali Marjaninejad, Michael Wehner, Francisco J. Valero Cuevas:
Curriculum Learning Influences the Emergence of Different Learning Trends. Humanoids 2024: 521-527 - [i9]Darío Urbina-Meléndez, Hesam Azadjou, Francisco J. Valero Cuevas:
Brain-Body-Task Co-Adaptation can Improve Autonomous Learning and Speed of Bipedal Walking. CoRR abs/2402.02387 (2024) - [i8]Pegah Ojaghi, Romina Mir, Ali Marjaninejad, Andrew Erwin, Michael Wehner, Francisco J. Valero Cuevas:
Curriculum Is More Influential Than Haptic Information During Reinforcement Learning of Object Manipulation Against Gravity. CoRR abs/2407.09986 (2024) - 2023
- [j30]Hesam Azadjou, Michalina Blazkiewicz
, Andrew Erwin, Francisco J. Valero Cuevas:
Dynamical Analyses Show That Professional Archers Exhibit Tighter, Finer and More Fluid Dynamical Control Than Neophytes. Entropy 25(10): 1414 (2023) - 2022
- [j29]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j28]Francisco J. Valero Cuevas, Andrew Erwin:
Bio-robots step towards brain-body co-adaptation. Nat. Mac. Intell. 4(9): 737-738 (2022) - 2021
- [j27]Daniel A. Hagen, Ali Marjaninejad, Gerald E. Loeb, Francisco J. Valero Cuevas:
insideOut: A Bio-Inspired Machine Learning Approach to Estimating Posture in Robots Driven by Compliant Tendons. Frontiers Neurorobotics 15: 679122 (2021) - [j26]Akira Nagamori, Christopher M. Laine, Gerald E. Loeb, Francisco J. Valero Cuevas:
Force variability is mostly not motor noise: Theoretical implications for motor control. PLoS Comput. Biol. 17(3) (2021) - [c18]Darío Urbina-Meléndez, Jiaoran Wang, Daniel Wang, Ali Marjaninejad, Francisco J. Valero Cuevas:
Estimating Center of Pressure of a Bipedal Mechanism Using a Proprioceptive Artificial Skin around its Ankles. EMBC 2021: 4522-4528 - [c17]Ali Marjaninejad, Christian Klaes, Francisco J. Valero Cuevas:
Data-efficient Causal Decoding of Spiking Neural Activity using Weighted Voting. EMBC 2021: 5850-5855 - 2020
- [c16]Ali Marjaninejad, Jie Tan, Francisco J. Valero Cuevas:
Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning. EMBC 2020: 4680-4686 - [c15]Ali Marjaninejad, Darío Urbina-Meléndez, Francisco J. Valero Cuevas:
Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven Systems. EMBC 2020: 4687-4693 - [c14]Emily A. Reed, Marcus A. Pereira, Francisco J. Valero Cuevas, Evangelos A. Theodorou:
Sampling-Based Nonlinear Stochastic Optimal Control for Neuromechanical Systems. EMBC 2020: 4694-4699 - [c13]Daniel A. Hagen, Ali Marjaninejad, Francisco J. Valero Cuevas:
A Bio-Inspired Framework for Joint Angle Estimation from Non-Collocated Sensors in Tendon-driven Systems. IROS 2020: 7778-7783 - [c12]Jasmine A. Berry, Francisco J. Valero Cuevas:
Sensory-Motor Gestalt: Sensation and Action as the Foundations of Identity, Agency, and Self. ALIFE 2020: 130-138 - [i7]Romina Mir, Ali Marjaninejad, Francisco J. Valero Cuevas:
The utility of tactile force to autonomous learning of in-hand manipulation is task-dependent. CoRR abs/2002.02418 (2020)
2010 – 2019
- 2019
- [j25]Manish N. Sreenivasa, Francisco J. Valero Cuevas, Matthew Tresch, Yoshihiko Nakamura, Alfred C. Schouten, Massimo Sartori:
Editorial: Neuromechanics and Control of Physical Behavior: From Experimental and Computational Formulations to Bio-inspired Technologies. Frontiers Comput. Neurosci. 13: 13 (2019) - [j24]Ali Marjaninejad, Darío Urbina-Meléndez, Brian A. Cohn, Francisco J. Valero Cuevas:
Autonomous functional movements in a tendon-driven limb via limited experience. Nat. Mach. Intell. 1(3): 144-154 (2019) - [i6]Ali Marjaninejad, Darío Urbina-Meléndez, Francisco J. Valero Cuevas:
Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven Systems. CoRR abs/1907.04539 (2019) - [i5]Ali Marjaninejad, Jie Tan, Francisco J. Valero Cuevas:
Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning. CoRR abs/1909.12436 (2019) - 2018
- [j23]Brian A. Cohn, May Szedlák, Bernd Gärtner, Francisco J. Valero Cuevas:
Feasibility Theory Reconciles and Informs Alternative Approaches to Neuromuscular Control. Frontiers Comput. Neurosci. 12: 62 (2018) - [j22]Darío Urbina-Meléndez, Kian Jalaleddini, Monica A. Daley, Francisco J. Valero Cuevas:
A Physical Model Suggests That Hip-Localized Balance Sense in Birds Improves State Estimation in Perching: Implications for Bipedal Robots. Frontiers Robotics AI 5: 38 (2018) - [j21]Akira Nagamori, Christopher M. Laine, Francisco J. Valero Cuevas:
Cardinal features of involuntary force variability can arise from the closed-loop control of viscoelastic afferented muscles. PLoS Comput. Biol. 14(1) (2018) - [c11]Ali Marjaninejad, Rohit Annigeri, Francisco J. Valero Cuevas:
Model-Free Control of Movement in a Tendon-Driven Limb via a Modified Genetic Algorithm. EMBC 2018: 1767-1770 - [c10]Ali Marjaninejad, Jasmine A. Berry, Francisco J. Valero Cuevas:
An Analytical Approach to Posture-Dependent Muscle Force and Muscle Activation Patterns. EMBC 2018: 2068-2071 - [i4]Brian A. Cohn, Dilan D. Shah, Ali Marjaninejad, Martin Shapiro, Serhan Ulkumen, Christopher M. Laine, Francisco J. Valero Cuevas, Kenneth H. Hayashida, Sarah Ingersoll:
Quantifying and attenuating pathologic tremor in virtual reality. CoRR abs/1809.05970 (2018) - [i3]Ali Marjaninejad, Darío Urbina-Meléndez, Brian A. Cohn, Francisco J. Valero Cuevas:
Autonomous Functional Locomotion in a Tendon-Driven Limb via Limited Experience. CoRR abs/1810.08615 (2018) - 2017
- [j20]Alexander Reyes, Christopher M. Laine, Jason J. Kutch, Francisco J. Valero Cuevas:
Beta Band Corticomuscular Drive Reflects Muscle Coordination Strategies. Frontiers Comput. Neurosci. 11: 17 (2017) - [j19]Ferdinand von Walden, Kian Jalaleddini, Björn Evertsson, Johanna Friberg, Francisco J. Valero Cuevas, Eva Pontén:
Forearm Flexor Muscles in Children with Cerebral Palsy Are Weak, Thin and Stiff. Frontiers Comput. Neurosci. 11: 30 (2017) - [c9]Ali Marjaninejad, Babak Taherian, Francisco J. Valero Cuevas:
Finger movements are mainly represented by a linear transformation of energy in band-specific ECoG signals. EMBC 2017: 986-989 - [c8]Jasmine A. Berry, Robert Ritter, Akira Nagamori, Francisco J. Valero Cuevas:
The neural control of movement must contend with trajectory-specific and nonlinearly distorted manifolds of afferent muscle spindle activity. IJCNN 2017: 1188-1194 - [i2]Sébastien M. R. Arnold, Tsam Kiu Pun, Théo-Tim J. Denisart, Francisco J. Valero Cuevas:
Shapechanger: Environments for Transfer Learning. CoRR abs/1709.05070 (2017) - [i1]Francisco J. Valero Cuevas, Marco Santello:
On Neuromechanical Approaches for the Study of Biological Grasp and Manipulation. CoRR abs/1710.08557 (2017) - 2016
- [j18]Christopher M. Laine, Akira Nagamori, Francisco J. Valero Cuevas:
The Dynamics of Voluntary Force Production in Afferented Muscle Influence Involuntary Tremor. Frontiers Comput. Neurosci. 10: 86 (2016) - [j17]Sarine Babikian, Francisco J. Valero Cuevas, Eva Kanso:
Slow Movements of Bio-Inspired Limbs. J. Nonlinear Sci. 26(5): 1293-1309 (2016) - [j16]Joshua M. Inouye, Francisco J. Valero Cuevas:
Muscle Synergies Heavily Influence the Neural Control of Arm Endpoint Stiffness and Energy Consumption. PLoS Comput. Biol. 12(2) (2016) - [c7]Ali Marjaninejad, Francisco J. Valero Cuevas:
Should Anthropomorphic Systems be "Redundant"? Biomechanics of Anthropomorphic Systems 2016: 7-34 - 2014
- [j15]Joshua M. Inouye, Francisco J. Valero Cuevas:
Anthropomorphic tendon-driven robotic hands can exceed human grasping capabilities following optimization. Int. J. Robotics Res. 33(5): 694-705 (2014) - [p1]Joshua M. Inouye, Jason J. Kutch, Francisco J. Valero Cuevas:
Optimizing the Topology of Tendon-Driven Fingers: Rationale, Predictions and Implementation. The Human Hand as an Inspiration for Robot Hand Development 2014: 247-266 - 2013
- [j14]Kornelius Rácz, Francisco J. Valero Cuevas:
Spatio-temporal analysis reveals active control of both task-relevant and task-irrelevant variables. Frontiers Comput. Neurosci. 7: 155 (2013) - [c6]Joseph D. Towles, Francisco J. Valero Cuevas, Vincent R. Hentz:
Capacity of small groups of muscles to accomplish precision grasping tasks. EMBC 2013: 6583-6586 - 2012
- [j13]Jason J. Kutch, Francisco J. Valero Cuevas:
Challenges and New Approaches to Proving the Existence of Muscle Synergies of Neural Origin. PLoS Comput. Biol. 8(5) (2012) - [j12]Anupam Saxena, Hod Lipson, Francisco J. Valero Cuevas:
Functional Inference of Complex Anatomical Tendinous Networks at a Macroscopic Scale via Sparse Experimentation. PLoS Comput. Biol. 8(11) (2012) - [j11]Manish U. Kurse, Hod Lipson, Francisco J. Valero Cuevas:
Extrapolatable Analytical Functions for Tendon Excursions and Moment Arms From Sparse Datasets. IEEE Trans. Biomed. Eng. 59(6): 1572-1582 (2012) - [j10]Joshua M. Inouye, Jason J. Kutch, Francisco J. Valero Cuevas:
A Novel Synthesis of Computational Approaches Enables Optimization of Grasp Quality of Tendon-Driven Hands. IEEE Trans. Robotics 28(4): 958-966 (2012) - 2011
- [c5]Evangelos A. Theodorou, Emanuel Todorov, Francisco J. Valero Cuevas:
Neuromuscular stochastic optimal control of a tendon driven index finger model. ACC 2011: 348-355 - 2010
- [j9]Michael Sherback, Francisco J. Valero Cuevas, Raffaello D'Andrea:
Slower Visuomotor Corrections with Unchanged Latency are Consistent with Optimal Adaptation to Increased Endogenous Noise in the Elderly. PLoS Comput. Biol. 6(3) (2010)
2000 – 2009
- 2009
- [j8]Veronica J. Santos, Carlos D. Bustamante, Francisco J. Valero Cuevas:
Improving the Fitness of High-Dimensional Biomechanical Models via Data-Driven Stochastic Exploration. IEEE Trans. Biomed. Eng. 56(3): 552-564 (2009) - [c4]Weiwei Li, Francisco J. Valero Cuevas:
Linear quadratic optimal control of contact transition with fingertip. ACC 2009: 1718-1723 - 2008
- [j7]Kevin G. Keenan, Francisco J. Valero Cuevas:
Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation. Biomed. Signal Process. Control. 3(2): 154-162 (2008) - [j6]Robert H. Clewley, John M. Guckenheimer, Francisco J. Valero Cuevas:
Estimating Effective Degrees of Freedom in Motor Systems. IEEE Trans. Biomed. Eng. 55(2): 430-442 (2008) - 2007
- [j5]Francisco J. Valero Cuevas, Jae-Woong Yi, Daniel Brown, Robert V. McNamara, Chandana Paul, Hod Lipson:
The Tendon Network of the Fingers Performs Anatomical Computation at a Macroscopic Scale. IEEE Trans. Biomed. Eng. 54(6): 1161-1166 (2007) - [j4]Francisco J. Valero Cuevas, Vikrant V. Anand, Anupam Saxena, Hod Lipson:
Beyond Parameter Estimation: Extending Biomechanical Modeling by the Explicit Exploration of Model Topology. IEEE Trans. Biomed. Eng. 54(11): 1951-1964 (2007) - [c3]John Rieffel, Hod Lipson, Francisco J. Valero Cuevas:
Growing form-filling tensegrity structures using map L-systems. GECCO 2007: 1063 - 2006
- [j3]Veronica J. Santos, Francisco J. Valero Cuevas:
Reported anatomical variability naturally leads to multimodal distributions of Denavit-Hartenberg parameters for the human thumb. IEEE Trans. Biomed. Eng. 53(2): 155-163 (2006) - [j2]Chandana Paul, Francisco J. Valero Cuevas, Hod Lipson:
Design and control of tensegrity robots for locomotion. IEEE Trans. Robotics 22(5): 944-957 (2006) - 2005
- [j1]Andrew T. Miller, Peter K. Allen, Veronica J. Santos, Francisco J. Valero Cuevas:
From robotic hands to human hands: a visualization and simulation engine for grasping research. Ind. Robot 32(1): 55-63 (2005) - [c2]Chandana Paul, Hod Lipson, Francisco J. Valero Cuevas:
Evolutionary form-finding of tensegrity structures. GECCO 2005: 3-10 - 2000
- [c1]Francisco J. Valero Cuevas:
Applying Principles of Robotics to Understand the Biomechanics, Neuromuscular Control and Clinical Rehabilitation of Human Digits. ICRA 2000: 270-275
Coauthor Index
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