Should Anthropomorphic Systems be "Redundant"? - Ali Marjaninejad; Francisco J. Valero Cuevas (Biomechanics of Anthropomorphic Systems, 2016)

A model-based exploration of the role of pattern generating circuits during locomotor adaptation. - Ali Marjaninejad; James M. Finley (EMBC, 2016)

Finger movements are mainly represented by a linear transformation of energy in band-specific ECoG signals. - Ali Marjaninejad; Babak Taherian; Francisco J. Valero Cuevas (EMBC, 2017)

Model-Free Control of Movement in a Tendon-Driven Limb via a Modified Genetic Algorithm. - Ali Marjaninejad; Rohit Annigeri; Francisco J. Valero Cuevas (EMBC, 2018)

An Analytical Approach to Posture-Dependent Muscle Force and Muscle Activation Patterns. - Ali Marjaninejad; Jasmine A. Berry; Francisco J. Valero Cuevas (EMBC, 2018)

Quantifying and attenuating pathologic tremor in virtual reality. - Brian A. Cohn; Dilan D. Shah; Ali Marjaninejad; Martin Shapiro; Serhan Ulkumen; Christopher M. Laine; Francisco J. Valero Cuevas; Kenneth H. Hayashida; Sarah Ingersoll (CoRR, 2018)

Autonomous Functional Locomotion in a Tendon-Driven Limb via Limited Experience. - Ali Marjaninejad; Darío Urbina-Meléndez; Brian A. Cohn; Francisco J. Valero Cuevas (CoRR, 2018)

Autonomous functional movements in a tendon-driven limb via limited experience. - Ali Marjaninejad; Darío Urbina-Meléndez; Brian A. Cohn; Francisco J. Valero Cuevas (Nat. Mach. Intell., 2019)

Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning. - Ali Marjaninejad; Jie Tan 001; Francisco J. Valero Cuevas (EMBC, 2020)

Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven Systems. - Ali Marjaninejad; Darío Urbina-Meléndez; Francisco J. Valero Cuevas (EMBC, 2020)

A Bio-Inspired Framework for Joint Angle Estimation from Non-Collocated Sensors in Tendon-driven Systems. - Daniel A. Hagen; Ali Marjaninejad; Francisco J. Valero Cuevas (IROS, 2020)

The utility of tactile force to autonomous learning of in-hand manipulation is task-dependent. - Romina Mir; Ali Marjaninejad; Francisco J. Valero Cuevas (CoRR, 2020)

Data-efficient Causal Decoding of Spiking Neural Activity using Weighted Voting. - Ali Marjaninejad; Christian Klaes 001; Francisco J. Valero Cuevas (EMBC, 2021)

Estimating Center of Pressure of a Bipedal Mechanism Using a Proprioceptive Artificial Skin around its Ankles. - Darío Urbina-Meléndez; Jiaoran Wang; Daniel Wang; Ali Marjaninejad; Francisco J. Valero Cuevas (EMBC, 2021)

insideOut: A Bio-Inspired Machine Learning Approach to Estimating Posture in Robots Driven by Compliant Tendons. - Daniel A. Hagen; Ali Marjaninejad; Gerald E. Loeb; Francisco J. Valero Cuevas (Frontiers Neurorobotics, 2021)

Biological underpinnings for lifelong learning machines. - 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; et al. (Nat. Mach. Intell., 2022)

Model-agnostic Bio-inspired Autonomous Lifelong-learning of Kinematic Control in Tendon-driven Quadruped Robots. - Ali Marjaninejad; Francisco J. Valero Cuevas (BioRob, 2024)

Curriculum Learning Influences the Emergence of Different Learning Trends. - Romina Mir; Pegah Ojaghi; Andrew Erwin; Ali Marjaninejad; Michael Wehner; Francisco J. Valero Cuevas (Humanoids, 2024)

Curriculum Is More Influential Than Haptic Information During Reinforcement Learning of Object Manipulation Against Gravity. - Pegah Ojaghi; Romina Mir; Ali Marjaninejad; Andrew Erwin; Michael Wehner; Francisco J. Valero Cuevas (CoRR, 2024)

Hardware Implementation of a Zero-Prior-Knowledge Approach to Lifelong Learning in Kinematic Control of Tendon-Driven Quadrupeds. - Hesam Azadjou; Suraj Chakravarthi Raja; Ali Marjaninejad; Francisco J. Valero Cuevas (CoRR, 2025)