Dr. Beaver is an assistant professor in the Mechanical and Aerospace Engineering Department at ODU.
Filippos is a visiting PhD student designing emerging mobility systems.
We perform basic and applied research to explore and optimize the fundamental behavior of robotic systems.
We develop algorithms that enable robots to intelligently manipulate unknown objects in unstructured environments.
We develop scaleable algorithms to efficiently allocate robots to tasks in large-scale systems using game theory and mechanism design.
We design control systems for highly underactuated systems that take advantage of the system physics to achieve desired behaviors.
We develop fast algorithms to generate optimal trajectories that are suitable for real-time applications in robotics and autonomous systems.
We develop adversarial driving strategies to create unsafe situations to systematically test autonomous driving systems.
We develop optimization-based control policies that encode intelligent behavior using real-time sensing and communication.
Our papers on QP-based tracking and microrobot motion planning have been accepted to the IEEE Control Systems Society Letters and 2026 American Control Conference, respectively.
Dr. Beaver and the ROC Lab were featured in a 30-second ODU Brand Anthem advertisement.
Our paper on optimal motion with PINNs was selected as an editor's pick in the ASME Letters in Dynamic Systems and Control.
ARL has awarded us a $60k STIR proposal entitled "Emergent Flocking Behavior through Energy Minimization".
Our conference paper on connected automated vehicles and our abstract on formation flocking have been accepted for presentation at CDC.
Our paper on flocking using differential games is available online.
The ODU AV team got 5th place at the 2025 Quanser Self-Driving Car Student Competition, just beating MIT.
Our articles on mass-adaptive admittance control and composite PINNs were accepted to the 2025 Modeling, Estimation, and Control Conference.
Our article on global games for multi-robot task allocation was accepted to the 2025 Association for the Advancement of Artificial Intelligence annual conference.
Our article on constraint-driven control for UAV flocking was published in IEEE Transactions on Control of Network Systems.
We presented our L-DSC article on physics-informed neural networks for manipulation at the 2024 Modeling, Estimation, and Control conference.
Our workshop on learning and control for multi-agent systems had over 40 attendees at the 2024 American Control Conference.
Brock recieved a $5,000 scholarship from the Perry Honor's College to develop an autonomous blimp prototype.
Our article on autonomous driving was jointly accepted to L-CSS and the 2024 American Control Conference.
Our article on learning and control for micron-scale robots was published in the IEEE Robotics and Automation Letters.
Our article on fast optimal control was published in Automatica.
Virginia Space Grant Consortium has awarded us a $10,000 seed grant throught the Young Investigator Program to develop game-theoretic solutions to multi-robot task allocation.
We co-organized the first tutorial on ecologically inspired robotics at the 2023 IFAC World Congress.
Dr. Beaver officially joined the Department of Mechanical and Aerospace Engineering at Old Dominion University.
Interested in joining the lab or collaborating?
Engineering and Computational Sciences Building
Room 1319
4700 Elkhorn Avenue
Norfolk, VA 23529
email: lbeaver {at} odu.edu
We're always looking for motivated PhD and MS students interested in robotics, optimization, and control. Please don't send an email unless you're responding to a specific opening that has been posted. The department makes all admission decisions by committee.