Dr. Ana Huamán Quispe
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.
2008 B.S. Mechatronics, Universidad Nacional de Ingeniería. Lima, Perú
2013 M.S. Computational Perception and Robotics, Georgia Institute of Technology. Atlanta, GA
2016 Ph.D. Robotics, Georgia Institute of Technology. Atlanta, GA
A. Huamán Quispe, E. Martinson, and K. Oguchi. Learning user preferences for robot-human
handovers. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
A. Huamán Quispe, H. Ben Amor, and H.I. Christensen. Combining arm and hand metrics for sensible
grasp selection. Conference on Automation Science and Engineering (CASE), 2016.
A. Huamán Quispe, B. Melville, C. Erdogan, H. Ben Amor, H.I. Christensen, and M. Stilman.
Efficient Manipulation Planning with basic primitives. IEEE International Conference on Robotics
and Automation (ICRA), 2015.
A. Huamán Quispe, H. Ben Amor, and M. Stilman. Handover Planning for Every Occasion. IEEE-RSJ
International Conference on Humanoid Robots (Humanoids), 2014.
A. Huamán Quispe, T. Kunz and M. Stilman. Generation of Diverse Paths in 3D Environments.
IEEE-RSJ International Conference on Intelligent Robots and Systems (IROS), 2013.
A. Huamán Quispe and M. Stilman. Deterministic Motion Planning for Redundant Robots along
End-Effector Paths. IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2012.