Interactive & Emergent Autonomy Lab

Ana Pervan

Research

I am interested in algorithmic design of robots for embodied intelligence and methodologies for autonomously identifying and exploiting emergence in collective systems.

Projects

Algorithmic Matter and Emergent Computation

Education

M.S. Mechanical Engineering, Northwestern University, 2018
B.S. Mechanical Engineering, University of Notre Dame, 2016

Awards and Honors

NSF Graduate Research Fellowship

Teaching

TA for Active Learning in Robotics (ME 495), Spring 2019

Other Interests

Traveling and painting



Publications

Bayesian Particles on Cyclic Graphs
A. Pervan and T. D. Murphey
IEEE Int. Conf. on Intelligent Robots and Systems (IROS), 2020. PDF

Autoperforation of Two-Dimensional Materials to Generate Colloidal State Machines Capable of Locomotion
A. T. Liu, J. F. Yang, L. N. LeMar, G. Zhang, A. Pervan, T. D. Murphey, M. Strano
Faraday Discussions, Royal Society of Chemistry, 2020. PDF

Information Requirements of Collision-Based Micromanipulation
A. Q. Nilles, A. Pervan, T. A. Berrueta, T. D. Murphey, S. M. LaValle
Workshop on the Algorithmic Foundations of Robotics (WAFR), 2020. PDF

A robot made of robots: emergent transport and control of a smarticle ensemble
W. Savoie, T. A. Berrueta, Z. Jackson, A. Pervan, R. Warkentin, S. Li, T. D. Murphey, K. Wiesenfeld, and D. I. Goldman
Science Robotics, vol. 4, no. 34, 2019. Paper

Dynamical system segmentation for information measures in motion
T. Berrueta, A. Pervan, K. Fitzsimons, and T. D. Murphey
IEEE Robotics and Automation Letters, vol. 4, no. 1, pp. 169–176, 2019. PDF

Low complexity control policy synthesis for cyber-free robot design
A. Pervan and T. D. Murphey
Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018. PDF

Algorithmic Materials: Embedding Computation within Material Properties for Autonomy
A. Pervan and T. D. Murphey
Robotic Systems and Autonomous Platforms: Advances in Materials and Manufacturing, Elsevier, 2018. Eds. M. Strano and S. Walsh. PDF