Max Robotics — Global Service Robot Directory + US Certification

About

Sara Gabaldo is a rising expert in the field of cable-driven parallel robots (CDPRs), with a specialized focus on underactuated systems—robots that use fewer cables than the degrees of freedom of their end-effector. Her research addresses the fundamental challenge of pose estimation in these underconstrained mechanisms, where traditional control methods fall short. Gabaldo’s major contributions include the development of novel pose-estimation algorithms that leverage redundant sensor measurements to accurately determine the end-effector’s position and orientation, even when the robot is underactuated. Her most-cited work, “Pose-estimation methods for underactuated cable-driven parallel robots” (2024), has already garnered 14 citations, reflecting its immediate impact on the robotics community. She has further explored the sensitivity of direct kinematics to sensor errors (2022) and extended her methods to planar systems (2023). Gabaldo’s work is pivotal for advancing the practical deployment of CDPRs in applications such as large-scale manipulation and rehabilitation, where lightweight, flexible, and cost-effective robotic solutions are needed. Her research not only pushes the boundaries of robotic theory but also provides actionable tools for engineers designing next-generation cable-driven systems.