Rachel Holladay is computer science PhD student co-advised by Alberto Rodriguez and Tomás Lozano-Pérez. She work in the MCube Lab (Manipulation and Mechanisms at MIT) and LIS Group (Learning and Intelligent Systems). Her current research focuses on the intersection of manipulation and motion planning and she is interested in how we can develop algorithms to enable robots to reason over force and motion 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 I was advised by Siddhartha Srinivasa. Her undergraduate thesis examined planning with task space constraints.