Cristina Garcia Cifuentes

Max Planck Institute for Intelligent Systems

Papers

Total Citations

179

H-Index

About

Cristina Garcia Cifuentes is a leading roboticist whose research sits at the intersection of perception, manipulation, and real-time control. Her work tackles one of the field’s most persistent challenges: enabling robots to grasp and manipulate objects reliably under real-world uncertainty—from noisy sensors to unpredictable environments. In her highly cited 2018 paper, “Real-Time Perception Meets Reactive Motion Generation” (107 citations), she demonstrated the critical importance of tightly integrating continuous visual feedback with motion planning, allowing robots to adapt instantly to changing conditions. Complementing this, her 2016 work on “Probabilistic Articulated Real-Time Tracking for Robot Manipulation” (69 citations) introduced a probabilistic filtering method that fuses joint encoder data with depth images to precisely estimate end-effector pose in the camera frame—eliminating cumbersome frame transformations and enabling seamless visual object tracking. This elegant sensor fusion approach has proven foundational for robust, real-time manipulation. With over 175 combined citations on these key papers, Garcia Cifuentes has established herself as a pivotal figure in advancing reactive, perception-driven robotic systems—work that continues to influence both academic research and practical robot deployment.