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Ross Allen

Ross Allen

Alumni · now at MIT Lincoln Labs (via SpaceX)

Ross Allen earned his Ph.D. in Aeronautics and Astronautics from Stanford University in June 2016. At Stanford, he was a UTRC Fellow in Aerospace Systems. He has also worked as a roboticist at the NASA Jet Propulsion Laboratory and one of the first employees at Lily Robotics developing an autonomous aerial camera. Ross received his M.Sc. in Aeronautics and Astronautics at Stanford University and his B.S. in Aerospace Engineering at Illinois Institute of Technology.

Ross’s work focused on training robots on how to avoid obstacles, even at high speeds, while achieving their objectives. His experiments with quadrotors evading a fencing blade while navigating an indoor environment stand as, arguably, one of the first demonstrations of real-time kinodynamic motion planning on a quadrotor systems.

Publications

7 publications · full lab bibliography

2019
  1. R. Allen and M. Pavone, “A Real-Time Framework for Kinodynamic Planning in Dynamic Environments with Application to Quadrotor Obstacle Avoidance,” Robotics and Autonomous Systems, vol. 115, pp. 174--193, 2019.
2016
  1. R. Allen, “A Real-Time Framework for Kinodynamic Planning with Application to Quadrotor Obstacle Avoidance,” Ph.D. dissertation, Stanford University, Dept. of Aeronautics and Astronautics, 2016.
  2. R. Allen and M. Pavone, “A Real-Time Framework for Kinodynamic Planning with Application to Quadrotor Obstacle Avoidance,” AIAA Conf. on Guidance, Navigation and Control, 2016.
  3. R. Allen, M. Pavone, and M. Schwager, “Flying Smartphones: When Portable Computing Sprouts Wings,” IEEE Pervasive Computing, vol. 15, no. 3, pp. 83--88, 2016.
2015
  1. R. Allen and M. Pavone, “Toward A Real-Time Framework for Solving the Kinodynamic Motion Planning Problem,” Proc. IEEE Conf. on Robotics and Automation, 2015.
2014
  1. R. Allen, A. Clark, J. A. Starek, and M. Pavone, “A Machine Learning Approach for Real-time Computation of Dynamical System Reachability Sets,” IEEE/RSJ Int. Conf. on Intelligent Robots & Systems, 2014.
2013
  1. R. Allen, M. Pavone, C. McQuin, I. Nesnas, J. C. Castillo-Rogez, T. N. Nguyen, and J. A. Hoffman, “Internally-Actuated Rovers for All-Access Surface Mobility: Theory and Experimentation,” Proc. IEEE Conf. on Robotics and Automation, 2013.