Christos Papachristos

Christos Papachristos

Assistant Professor


Prospective graduate students

Dr. Papachristos is currently recruiting:

  • Students with a background in FPGA programming / Embedded programming, interested in ultra-lightweight module design for miniaturized robotics applications. Robotics background in perception, state estimation is a plus.
  • Students with a background in lightweight material design and fabrication, interested in miniaturized and/or lighter-than-air, as well as reconfigurable robotics. Multi-body Dynamics and Control background is a plus

Learn more about our graduate programs 

Selected publications

  • C. Papachristos, T. Dang, S. Khattak, F. Mascarich, N. Khedekar, and K. Alexis, "Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots", Foundations and Trends® in Robotics, Now Publishers, Inc., 2018, Vol. 7, No. 3, pp. 180–250, DOI: 10.1007/978-3-319-91590-6_3
  • C. Papachristos, K. Alexis, and A. Tzes, "Dual–Authority Control of an Unmanned Tri–TiltRotor employing Model Predictive Control", Journal of Intelligent and Robotic Systems, Springer, DOI: 10.1007/s10846-015-0231-1
  • C. Papachristos, S. Khattak, and K. Alexis, "Uncertainty–Aware Receding Horizon Exploration and Mapping Using Aerial Robots", IEEE International Conference on Robotics & Automation (ICRA), pp. 4568–4575, May 29–June 3, 2017, Singapore.
  • C. Papachristos, K. Alexis, and A. Tzes, "Efficient Force Exertion for Aerial Robotic Manipulation: Exploiting the Thrust-Vectoring Authority of a Tri-TiltRotor UAV", IEEE International Conference on Robotics & Automation (ICRA), pp. 4500–4505, May 31–June 7, 2014, Hong Kong, China.
  • C. Papachristos, D. Tzoumanikas, and A. Tzes, "Aerial Robotic Tracking of a Generalized Mobile Target employing Visual and Spatio–Temporal Dynamic Subject Perception", IEEE International Conference on Intelligent Robots & Systems (IROS), pp. 4319–4324, September 28–October 2, 2015, Hamburg, Germany.

Courses taught

  • CS-202: Computer Science II, terms: Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019