Rachel Holladay

About

Rachel Holladay is computer science PhD student co-advised by Tomás Lozano-Pérez and Alberto Rodriguez. She works in the LIS Group (Learning and Intelligent Systems) and the MCube Lab (Manipulation and Mechanisms at MIT). She is generally interested in dexterous manipulation and constrained manipulation planning. Her research is currently focused on planning for multi-step manipulation tasks that require reasoning over motion, contact and force constraints. Holladay completed her undergraduate degree at Carnegie Mellon University with a double major in computer science and robotics. At CMU she was a researcher at the Robotics Institute in the Personal Robotics Lab, where she was advised by Siddhartha Srinivasa. Her undergraduate thesis examined planning with task space constraints.