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)

A Physical Model Suggests That Hip-Localized Balance Sense in Birds Improves State Estimation in Perching: Implications for Bipedal Robots. - Darío Urbina-Meléndez; Kian Jalaleddini; Monica A. Daley; Francisco J. Valero Cuevas (Frontiers Robotics AI, 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)

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

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)

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)

Brain-Body-Task Co-Adaptation can Improve Autonomous Learning and Speed of Bipedal Walking. - Darío Urbina-Meléndez; Hesam Azadjou; Francisco J. Valero Cuevas (CoRR, 2024)