Fall 2025
October 17, 2025
Bounding Algorithms for Path Planning and Routing Problems with Turn Radius Constraints
Dr. Satyanarayana Gupta Manyam, DCS Corporation, contractor for U.S. Air Force Research Laboratory
October 3, 2025
Aerial Robotics for Advanced Sensing Applications
Dr. Nikos Vitzilaios, University of South Carolina
September 19, 2025
Optimal Maneuvering for Safe and Cooperative Autonomous Vehicles in Mixed Traffic
Dr. Anni Li, University of North Carolina at Charlotte
Spring 2025
April 25, 2025
The Interplay of Bounded Rationality and Connectivity in Distributed Learning to Coordinate
Dr. Marcos Müller Vasconcelos, Florida State University
March 26, 2025
Robotics in Adverse Conditions: Overcoming Privacy, Modeling and Communication Challenges
Dr. Leonardo Bobadilla, Florida International University
February 28, 2025
Risk-averse and distributionally robust model predictive control for motion planning and control
Dr. Ashish Cherukuri, University of Groningen
February 14, 2025
The Quest for Missing Components: Dualities in Hybrid Optimal Control
Dr. Ali Pakniyat, University of Alabama
January 31, 2025
Strength in Numbers: Leveraging Coordination for Guaranteed Performance in Multi-Robot Systems
Dr. Yancy Diaz-Mercado, University of Maryland, College Park
January 17, 2025
On Proving the Equivalence of the Newton-Euler and Euler-Lagrange Formulations and Modeling and Koopman-Based Control of Multirotor UAVs
Dr. Kimon P. Valavanis, University of Denver
Fall 2024
November 15, 2024
Multi-layered Planning for Autonomous Underwater Vehicles
Dr. Mark Moll, Metron, Inc.
November 1, 2024
Tracking Resident Space Objects in Cislunar Space
Dr. Raktim Bhattacharya , Texas A&M University
October 18, 2024
Driving Efficiency: The Role of AI in Vehicle Powertrain Control
Dr. Carrie Hall, Illinois Institute of Technology
October 4, 2024
Dynamics based Privacy Protection for Decentralized Optimization/Learning
Dr. Yongqiang Wang, Clemson University
September 6, 2024
Coordinated Learning-based Autonomy for Urban Air Mobility Operations
Dr. Peng Wei, George Washington University
Spring 2024
April 26, 2024
Driving the Future: The Role of Control Systems in Electric and Autonomous Vehicles
Dr. Shima Nazari, University of California, Davis
April 12, 2024
Physics-informed Learning for Modeling and Control
Dr. Thomas Beckers, Vanderbilt University
March 29, 2024
From Sea to Space: Machine Learning for Robot Perception in the Wild
Dr. Katherine (Katie) Skinner, University of Michigan
March 15, 2024
Robots in Industry: Machining Challenge
Dr. L. Taner Tunc, UNC Charlotte
February 16, 2024
Heterogeneity and Collaboration in Multi-Robot Systems
Dr. Ramviyas Nattanmai Parasuraman, University of Georgia
February 2, 2024
Optimal Privacy-aware Dynamic Estimation
Dr. Ehsan Nekouei, City University of Hong Kong
January 19, 2024
Towards General Robot Intelligence
Dr. Sai Vemprala, Scaled Foundations
Fall 2023
December 1, 2023
Towards Actionable, Composable, and Controllable Sensor Simulators
Dr. Wei-Chiu Ma, Allen Institute for AI/University of Washington
November 17, 2023
Motion in the Ocean – Revolutionizing Marine Hydrokinetic Energy Harvesting Through the Optimal Periodic Motion Control of Underwater Kites
Dr. Chris Vermillion, University of Michigan
November 3, 2023
On-Manifold Dynamics Formulation and State and Parameter Estimation of Space Vehicles
Dr. Morad Nazari, Embry-Riddle Aeronautical University
October 20, 2023
From Mystery to Mastery: Tiny Robot Autonomy using the Manifestation of the Unknown
Dr. Nitin Sanket, Worcester Polytechnic Institute
October 6, 2023
Toward Supervised Autonomy
Dr. Erion Plaku, George Mason University
September 22, 2023
Verifiable Control of Learning-Enabled Autonomous Systems
Dr. Lars Lindemann, University of Southern California
September 8, 2023
Data-Driven Identification and Control of Autonomous Systems with Guaranteed Performance
Dr. Debdipta Goswami, The Ohio State University
Spring 2023
April 14, 2023
Non-standard Path/Motion Planning Problems at the Intersection of Path and Motion Planning, Information Theory, and Control
Dr. Michael Otte, University of Maryland College Park
April 14, 2023
Large Scale Multi Agent Path Finding
Dr. Jiaoyang Li, Carnegie Mellon University
March 24, 2023
From Pixels to Robots: Recipes for Vision-Enabled Robot Learning
Dr. Srijan Das, University of North Carolina at Charlotte
March 10, 2023
Performance-Oriented Model Learning and Auto-Tuning of Arbitrary Controllers via Bayesian Optimization
Dr. Ali Mesbah, University of California at Berkeley
February 24, 2023
Routing Problems in Robotics
Dr. Saurav Agarwal, University of Pennsylvania
February 10, 2023
Safe Learning and Control: An ℒ1 Adaptive Control Approach
Dr. Sheng Cheng, University of Illinois Urbana–Champaign
January 27, 2023
Control Synthesis based on Temporal Logic Trees with Application to Shared Autonomy
Dr. Yulong Gao, University of Oxford