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Dr. Huamán Quispe is an expert in developing algorithms that enable robots to perform manipulation tasks in an autonomous and efficient way. Her Ph.D. thesis, supported by a Schlumberger “Faculty for the Future” fellowship, involved the implementation of a robot manipulation pipeline for a bimanual manipulator. This project enabled the robot to perform elementary manipulation tasks with household objects under realistic constraints and limited perceptual information. Her interest in perception for robotics led to collaboration with the Open Source community, where she developed documentation and algorithms for OpenCV and PCL. This work was funded by the Google “Summer of Code” program in 2011 and 2014. In 2016, Dr. Huamán Quispe took a postdoctoral position at the Toyota InfoTechnology Center, where she developed a handover planning framework for the Toyota Human Support Robot (HSR) that allowed the mobile robot to learn users’ preferences on how they prefer to be served. Dr. Huamán Quispe joined TRACLabs in 2017 and has since then been a key developer of the CRAFTSMAN software framework, working on grasping research for NASA and helping implement CRAFTSMAN for industrial applications.