Bio

Alex Wallar is a PhD student in the Computer Science and Artificial Intelligence Lab at MIT. His research focusses on optimizing vehicle distributions and fleet sizes for ride-sharing systems to maximize system performance. He is a recipient of the Lemelson Presidential Fellowship, the MIT Diversity Fellowship, and the Shell-MIT Energy Fellowship. He received his masters degree in electrical engineering and computer science from MIT in 2017 with a focus on applications of constrained optimization for mobility-on-demand systems. He received is bachelors degree in computer science from the University of St Andrews in 2015 with first class honours.

Projects

Multi-class fleet sizing for mobility-on-demand

Publications: ICRA 2019

Remote sensing for autonomous vehicles with UAVs

Publications: FSR 2017
Videos: Demo

Risk sensitive surveillance using unmanned aerial vehicles

Publications: T-ASE 2015, SSCI 2014

Publications

Journals

  1. J. Alonso-Mora, S. Samaranayake, A. Wallar, E. Frazzoli, and D. Rus (2016): On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment, Proceedings of the National Academy of Sciences | PDF
  2. A. Wallar, E. Plaku, and D. Sofge (2015): Reactive motion planning for unmanned aerial surveillance of risk-sensitive areas, IEEE Transactions on Automation Science and Engineering pp. 969--980 | PDF
  3. D. Sofge, N. Sydney, A. Wallar, and K. Sullivan (2015): Mobile Autonomous Navy Teams for Information Surveillance and Search (MANTISS), Naval Research Laboratory Review

Conferences

  1. A. Wallar, J. Alonso-Mora, and D. Rus (2019): Optimizing Vehicle Distributions and Fleet Sizes for Mobility-on-Demand, 2019 IEEE International Conference on Robotics and Automation (ICRA) | PDF
  2. A. Wallar, M. Van Der Zee, J. Alonso-Mora, and D. Rus (2018): Vehicle Rebalancing for Mobility-on-Demand Systems with Ride-Sharing, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) pp. 4539--4546 | PDF
  3. A. Wallar, B. Araki, R. Chang, J. Alonso-Mora, and D. Rus (2018): Foresight: Remote Sensing For Autonomous Vehicles Using a Small Unmanned Aerial Vehicle, Field and Service Robotics pp. 591--604 | PDF
  4. J. Alonso-Mora, A. Wallar, and D. Rus (2017): Predictive routing for autonomous mobility-on-demand systems with ride-sharing, Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on pp. 3583--3590 | PDF
  5. A. Wallar and E. Plaku (2014): Path planning for swarms in dynamic environments by combining probabilistic roadmaps and potential fields, Swarm Intelligence (SIS), 2014 IEEE Symposium on pp. 1--8 | PDF
  6. A. Wallar, E. Plaku, and D. Sofge (2014): A planner for autonomous risk-sensitive coverage (PARCov) by a team of unmanned aerial vehicles, Swarm Intelligence (SIS), 2014 IEEE Symposium on pp. 1--7 | PDF
  7. A. Wallar and E. Plaku (2013): Path planning for swarms by combining probabilistic roadmaps and potential fields, Towards Autonomous Robotic Systems pp. 417--428 | PDF

Theses

  1. A. Wallar (2017): On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment with rebalancing, Electrical Engineering and Computer Science, Massachusetts Institute of Technology | PDF
  2. A. Wallar (2015): Generating Safe Trajectories in Stochastic Dynamic Environments by Leveraging Information About Obstacle Motion, School of Computer Science, University of St Andrews | PDF

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