Victor Paredes
PhD Candidate, Humanoid Robotics & Control Systems
Introducción profesional
I am a PhD candidate in Mechanical Engineering at The Ohio State University, working with Dr. Ayonga Hereid. My research endeavors are centered upon advancing the realm of bipedal locomotion, with a specific focus on applications for humanoids and exoskeleton devices.
I’m utilizing optimization, template-based planners, and non-linear control as the foundation of my research. Our work heavily relies on the implementation of algorithms, for which I use C++, Python, and MATLAB to manage sensor data and compute real-time control algorithms for our robotic systems.
I earned a Master of Science in Mechanical Engineering from Texas A&M University. During this formative period, my academic research gravitated towards the realm of bipedal locomotion and the pioneering field of lower-limb prosthetic devices.
Experiencia
- Research AssistantThe Ohio State University(2019 - Present)
- LecturerNational University of Engineering(2018 - 2019)
- CEOLima Bionics(2016 - 2018)
- Research AssistantTexas A&M University(2014 - 2016)
- Embedded SytemsMechatronic Engineering Engitronic(2014 - 2014)
Educación
- Doctor of Philosophy - PhD, Mechanical EngineeringThe Ohio State University(2024)
- Master's Degree, Mechanical EngineeringTexas A&M University(2016)
- Bachelor's degree, Mechatronic EngineeringNational University of Engineering(2012)
Artículos de investigación
Artículo 1: “First steps toward translating robotic walking to prostheses: a nonlinear optimization based control approach”
Artículo 2: “Multicontact locomotion on transfemoral prostheses via hybrid system models and optimization-based control”
Artículo 3: “Realization of nonlinear real-time optimization based controllers on self-contained transfemoral prosthesis”
Artículo 4: “Consolidated control framework to control a powered transfemoral prosthesis over inclined terrain conditions”
Artículo 5: “Realization of stair ascent and motion transitions on prostheses utilizing optimization-based control and intent recognition”