Andres Torres

Papers

Total Citations

H-Index

About

Andres Torres is a rising researcher at the intersection of biomechatronics, wearable robotics, and STEM education. His work focuses on developing accessible, real-world solutions for human gait analysis and assistive technology. In his highly cited 2022 paper, "Gait Phase Estimation of Unsupervised Outdoors Walking Using IMUs and a Linear Regression Model" (7 citations), Torres introduced a practical method for studying gait phases in natural, unsupervised environments—critical for advancing rehabilitation robotics and injury prevention without the need for expensive lab equipment. He further contributed to prosthetic control with his work on an "Error-State Kalman Filter for Online Evaluation of Ankle Angle" (4 citations), which enables low-cost, accurate state estimation for robotic ankles. Beyond technical innovation, Torres is committed to broadening participation in STEM. His 2025 paper, "Teaching Collaborative Robotics" (6 citations), presents a design-based learning curriculum that integrates robotics and assistive technology to engage underrepresented high school students. By combining rigorous engineering with educational outreach, Torres is shaping both the future of wearable robotics and the next generation of diverse engineers.