Research Goal

Utilize the Theory-Computation-Experiment paradigm to research Low Cost Attritable Aircraft Technology (LCAAT) with autonomy to establish trust, providing a game changing capability that transforms the way manned and unmanned air, space, and ground systems are designed, controlled, and operated to effectively accomplish missions and tasks. VSCL is thus focused on synergistic strategies for the analysis, control, validation & verification of complex autonomous vehicle and sensor systems operating in challenging environments.

The Vehicle Systems & Control Laboratory is directed by Dr. John Valasek.

Graduate Research Assistant Positions Available

The Vehicle Systems & Control Laboratory (VSCL) has multiple fully funded Ph.D. positions in Aerospace Engineering that are available. Interested students are encouraged to apply for research in the following areas:
– Autonomous and Nonlinear Control of Cyber-Physical Air, Space, and Ground Systems
– Vision Based Sensors and Navigation Systems
– Cybersecurity for Air and Space Vehicles
– Air and Space Vehicle Control and Management
– Advanced Cockpit/UAS Systems and Displays
– Control of Bio-Nano Materials and Structures
– Human-in-the-Loop Artificial Intelligence for Coordinated Autonomous Unmanned Air Systems

More information and details for applying can be found here.

Research Project Spotlight

Project: System Identification for Unmanned Air Systems

Sponsor: National Science Foundation (NSF) Center for Autonomous Air Mobility & Sensing (CAAMS)

Purpose: System Identification is a process to develop a mathematical representation of the dynamics of a physical system from measured data. Accurate models enable prediction of performance and dynamics of a system.

Challenges: Models for sUAS are generally not available as manufacturers do not have models for commercial sUAS and models for military sUAS are not typically available. Modeling and control systems are often vehicle dependent and not easily portable across sUAS. Many commercial autopilots do not provide data needed for online system identification

Our Approach: Utilizing the Observer Kalman Filter Identification algorithm with the Developmental Flight Test Instrumentation 2 framework, full state space models can be identified in near-real time onboard the vehicle utilizing data from a variety of sensors.

Zachary Curtis Defends Masters Thesis

Posted on by

Zachary Curtis successfully defended his M.S. thesis Adversarial Inverse Reinforcement Learning For Complex Vehicle Tasks on 4 September. Zach has been with VSCL for two years now, coming to TAMU from Utah Tech where he took classes from another VSCL alumnus, Kameron Eves. He has been heavily involved in autonomous vehicle control and getting the in-lab built rotorcraft, the Lunatic, flight-worthy.

Autonomous unmanned aerial systems must perform tasks that combine perception, decision making, and control while operating under dynamic constraints. Reinforcement learning can learn control policies through simulation, but its effectiveness depends on the reward function used to define successful behavior. For multicopter target tracking, manually designed rewards must balance target-centering accuracy, stable flight, control effort, and safety limits, making reward engineering difficult to scale to new vehicles and environments. This research investigates adversarial inverse reinforcement learning as a method for recovering task-level reward functions from expert demonstrations and reducing dependence on handcrafted reward design.
 
The method is evaluated on a simulated multicopter visual target-tracking task in which a vehicle commands altitude, forward velocity, lateral velocity, and yaw rate through a lower-level nonzero setpoint controller. Expert trajectories are used to train an adversarial reward model and a reinforcement learning policy. Training behavior is examined across discriminator update frequencies, policy learning settings, entropy regularization, warm starts from behavior cloning, and different expert demonstration sets.  The learned policy is compared with behavior cloning and expert baselines, and the recovered reward is transferred from a quadcopter simulation to a hexacopter simulation to assess whether the inferred task objective remains useful under changed vehicle dynamics. 

Zach’s research is supported by the Army Research Laboratory on the project Robust Threat Detection for Ground Combat Vehicles with Multi-Domain Surveillance in Hostile Environments.  Zach is the 69th graduate degree advised by Dr. John Valasek and has full

Three New Graduate Students Join VSCL

Posted on by

VSCL is proud to welcome three new graduate research assistants:

Seth Johnson, a member of VSCL since Spring 2022, graduated in May 2026 with his Bachelor of Science in Aerospace Engineering and minors in Mathematics and Computer Science. He is beginning his Master of Science in Aerospace Engineering with the lab. Throughout his time at VSCL, Seth has worked on various projects, including GNSS-Denied Data Collection, MOSALINA, VIDAS, Robust Threat Detection, and Fixed Wing System Identification. His focus spans autonomous systems, software architecture, and integrated flight systems, with an emphasis on the real-world deployment of multi-agent systems.

Lily Mikulas has been an active member of VSCL since the Spring of 2025 and graduated with a Bachelor of Science in Aerospace Engineering degree with a minor in Mathematics in May 2026. She became passionate about dynamics and aviation during her time as an undergraduate student. She has worked on the System Identification Project and is currently working with the Air Force Research Lab as a Safe Autonomy Intern. Her primary motivation stems from her genuine enthusiasm for aviation safety. She will continue researching in VSCL as a graduate student pursuing a Master of Science degree.

 

 

Aidan Timofte is a new graduate student pursuing a PhD in Aerospace Engineering. Having graduated in May 2026 with a B.S. in Aerospace Engineering with minors in Astrophysics and Mathematics, his research interests include nonlinear control simulation and validation, multiple-timescale controller development, and spacecraft autonomy and navigation.

 

 

 

 

 

VSCL Students Graduate with B.S. and Masters Degrees

Posted on by

Congratulations to the VSCL undergraduate research assistants who graduated with a Bachelor of Science in Aerospace Engineering from Texas A&M University on May 7th 2026: Aidan Timofte, Ankush Rao, Lily Mikulas, Sean Garner, Abby Andrews, Seth Johnson and Halle Vandersloot.

   

 

Congratulations to Carla Zaramella, Isabela Martínez Banda, and Chantz Elliot who graduated with a Masters of Engineering in Aerospace Engineering and Payton Clem who graduated with a Masters of Science in Aerospace Engineering on May 8th, you four have been imperative to the success of the VSCL and we wish you well in your future careers!

VSCL Students Selected for Summer 2026 Internships

Posted on by

Many students of the Texas A&M Vehicle Systems & Control Laboratory have been selected for internships for the Summer of 2026. These internships show VSCL student representation at a variety of companies and institutions across the United States. Students which have been selected for internships in the Summer of 2026 include:

Jillian Bennett will be interning with the Naval Air Warfare Center Aircraft Division in Patuxent River, Maryland with the STEM Student Employment Program (SSEP) implementing an adaptive multiple time-scale controller (KAMS) on a VTOL vehicle.

Raul Santos accepted an internship with the Force Projection Sector of John Hopkins University APL in Laurel, Maryland where he will be a Missiles GNC Engineering Intern.

Sadie Binz is joining the Naval Research Office (NRO) in Washington DC as a NREIP Intern working on single and multi agent reinforcement learning.

Seth Johnson accepted an internship with VectorNav Technologies in Dallas,Texas as a Navigational Engineering Intern where he will be working on software for sensor data fusion.

Aidan Timofte is joining General Atomics ASI in San Diego, California as a Flight Controls Engineering intern.

Lily Mikulas accepted an internship with the Air Force Research Lab (AFRL) Autonomous Capabilities Team (ACT3), facilitated through the University of Dayton Research Institute (UDRI).

Allision Barnes will be an Aviation Programs Engineering Intern with Garmin in Olathe, Kansas facilitating avionics integration with OEMs.

Bella Grayson will be joining NASA at Johnson Space Center in Houston, Texas as a systems engineering intern supporting Artemis III and IV.

Paige Warren is joining Gulfstream in Savannah, Georgia as a Flight Sciences Engineering Intern – Control Laws working on control law theory and simulation.

Laura Escamilla accepted an internship with AeroVironment in Moorpark, California as an Autonomy Engineering Intern.

Izzy Peressim was selected for the S-REU at Texas A&M University with Dr. Valasek. She will be researching the use of human eye gaze for improving the real-time training and mission performance of intelligent agents

Ishaan Bansal will be a GNC software engineering intern for SpaceX in Redmond, Washington working on Starlink.

VSCL Students Present at 2026 AIAA SciTech Forum

Posted on by

VSCL researchers Raul Santos, Seth Johnson, Carla Zaramella, Zach Curtis will present papers in January at the 2026 AIAA SciTech Forum in Orlando, Florida.

On 12 January, Raul Santos will present the paper ”Deep Reinforcement Learning Waypoint Generation for Attitude Station-Keeping with Sun Avoidance”. This work studies deep reinforcement learning–based waypoint generation for autonomous on-orbit attitude control and examines how observation and action space design influence neural network performance.

Santos, Raul, Binz, Sadie, McQuinn,Cassie-Kay, Valasek, John, Hamilton, Nathaniel, Hobbs, Kerianne L., and Dulap, Kyle, ”Deep Reinforcement Learning Waypoint Generation for Attitude Station-Keeping with Sun Avoidance,” 2026 AIAA Science and Technology Forum and Exposition, Orlando, FL, 12 January 2026

 

On 12 January, Seth Johnson will present the paper “Modular Open System Architecture for Low-cost Integrated Avionics (MOSA LINA)”. This work investigates a modular, open-system avionics architecture for experimental vehicles that reduces integration complexity and supports platform-agnostic mission reconfiguration through plug-and-play sensor integration. Two case studies are investigated: one focused on synchronized high-fidelity data collection and the other on autonomous fixed-wing target tracking.

Johnson, Seth, Santos, Raul, Martinez-Banda, Isabella, Luna, Noah, and Valasek, John, “Modular Open System Architecture for Low-cost Integrated Avionics (MOSA LINA),” 2026 AIAA Science and Technology Forum and Exposition, Orlando, FL, 12 January 2026.

 

On 15 January, Carla Zaramella will present the paper “Identification of Non-Dimensional Aerodynamic Derivatives using Markov Parameter Based Least Squares Identification Algorithm”. This work expands apon previous developments of the MARBLES algorithm to directly identify non-dimensional stability and control derivatives using computed Markov Parameters with a least squares estimator and a priori information.

Leshikar, Christopher, Zaramella, Carla, Madewell, Evelyn, and Valasek, John, “Identification of Non-Dimensional Aerodynamic Derivatives using Markov Parameter Based Least Squares Identification Algorithm,” 2026 AIAA Science and Technology Forum and Exposition, Orlando, FL, 15 January 2026

 

On 16 January, Zachary Curtis will present the paper “Real-Time Controller Architecture for sUAS Flight Test”. This work investigates a C++/ROS architecture for real -time controller implementation. The said architecture, Kanan, allows safe and fast integration of custom controllers across a broad range of vehicles and controller types.

Luna, Noah, Valasek, John, and Curtis, Zachary, “Real-Time Controller Architecture for sUAS Flight Test,”  2026 AIAA Science and Technology Forum and Exposition, Orlando, FL, 16 January 2026.

 

Payton Clem Defends Masters Thesis

Posted on by

Payton Clem successfully defended her M.S. thesis Autonomous Target Tracking of Hostile Ground Target under Wind Disturbance and Sun Concealment using Deep Reinforcement Learning on 12 December.  Payton has been with VSCL since the first semester of her senior year and is highly engaged in AI and flight testing.

Intelligence, surveillance, and reconnaissance (ISR) missions benefit from the use of unmanned aircraft systems (UAS) capable of maintaining visual contact with ground targets, referred to here as target tracking. For practical deployment, it is valuable for tracking to be autonomous and function without detailed knowledge of the surrounding environment. The task becomes more complex when additional objectives, such as concealment or avoiding a hostile target, are introduced. To address this problem, a Soft Actor-Critic (SAC) reinforcement learning controller is developed that uses only the target’s location in the image frame. The agent controls a multirotor UAS equipped with a fixed optical sensor, requiring the agent to adjust vehicle attitude to keep the target in view while accounting for wind, varying target behaviors, altitude-based concealment constraints, and sun-related concealment. Previous work on fixed-camera target tracking has shown that RL-based algorithms can produce unstable behaviors such as control oscillations and large altitude changes. This work focuses on reward shaping to mitigate these issues and encourage stable, consistent tracking. In addition, the influence of including solar concealment information in the reward function is examined to assess its effect on vehicle behavior. The results demonstrate that the proposed reward structure effectively reduces unwanted behaviors such as diving and pitch and yaw ringing. The reward structure enables stable, long-duration tracking, despite the incorporation of constraints associated with sun concealment strategies. The resulting policy achieves reliable tracking across the evaluated conditions.

Payton’s research is supported by the Army Research Laboratory on the project Robust Threat Detection for Ground Combat Vehicles with Multi-Domain Surveillance in Hostile Environments

Hannah Lehman and Chris Leshikar Graduate with Ph.D.

Posted on by

Hannah Lehman and Chris Leshikar graduated with their Ph.D. Degrees in Aerospace Engineering.Congratulations Hannah and Chris, VSCL is proud of your accomplishments!

 

 

 

 

 

 

 

Hannah Lehman is the 62nd graduate student advised to completion of their degree by Dr. Valasek, and the title of her dissertation is “Hierarchical Auctions for the Coordination of Heterogeneous Agents using Machine Learning“. Hannah will be working at Sandia National Laboratories, where she has now done four graduate internships.

 

 

 

 

Chris Leshikar is the 63rd graduate student advised to completion of their degree by Dr. Valasek. Chris’s research was supported by the National Science Foundation under the Center for Autonomous Air Mobility and Sensors (CAAMS) and the title of his dissertation is “Markov Parameter Based Methods for System Identification“. Chris will begin seminary formation for the Catholic Diocese of Victoria later this year.

 

 

 

Swansen and McQuinn inducted into AIAA Technical Committees

Posted on by

PhD students Erin Swansen and Cassie-Kay McQuinn were inducted into AIAA technical committees this year.

Erin Swansen: Guidance, Navigation, and Control TC

The Guidance, Navigation, and Control Technical Committee (GNCTC) aims to advance the technology and provide forums for the theoretical and practical consideration of techniques, devices and systems for the navigation, guidance and control of flight vehicles and the control of related aerospace systems.

Cassie-Kay McQuinn: Intelligent Systems TC

The Intelligent Systems Technical Committee (ISTC) is concerned with the application of Intelligent System (IS) technologies and methods to aerospace systems, the verification and validation of these systems, and the education of the AIAA membership in the use of IS technologies in aerospace and other technical disciplines.

McQuinn awarded Doctoral Research Excellence Assistantship

Posted on by

PhD student Cassie-Kay McQuinn was awarded the Texas A&M University Doctoral Research Excellence Assistantship (DREA). The DREA provides fully funded doctoral assistantships and aims to attract top-tier doctoral students. The assistantship is designed to enhance Texas A&M’s research capacity and productivity thus fortifying the university’s reputation as a leading research institution and facilitate groundbreaking contributions to various fields of study. The DREA is award by the university to only four students annually with selection criteria based on demonstrated academic excellence, relevant experiences beyond the classroom, and research potential. Cassie-Kay’s selection reflects not only her academic excellence but also her commitment to advancing knowledge and contributing meaningfully to her field.

McQuinn graduated with a B.S. and M.S. in Aerospace Engineering from Texas A&M, and has been an active member of VSCL since 2021. Throughout her tenure as a student she has been involved in several leadership and engineering organizations including serving as the president of the Texas A&M chapter of Sigma Gamma Tau, the national aerospace engineering honor society. As a graduate student she has interned with Sandia National Labs as a research and development intern. Since 2023 she has interned with the Air Force Research Lab’s Autonomous Capabilities Team (ACT3) where her work on safety assurance and multi-constraint satisfaction contributes to the  Safe Trusted Autonomy for Responsible Spacecraft (STARS) program.

Congratulations Cassie-Kay!

Bennett Awarded Stanger Endowed Graduate Fellowship

Posted on by

Jillian Bennett was selected as the recipient of the Stanger Endowed Graduate Fellowship. Established by Dianna Stanger, the fellowship provides academic freedom to selected fellows by providing a portion of their support for two years. The selection process for the fellowship focuses on how the student plans to leverage their Ph.D. toward general welfare and on ways in which the student has shown commitment to advancing women’s participation and inclusion in Aerospace Engineering and other STEM fields. On the fellowship, Jillian says “I am extremely thankful and honored to have received the Stanger Endowed Graduate Fellowship. This fellowship has given me the opportunity to dive further into my interests within my research. Because of Ms. Stanger’s generosity, I am able to broaden my knowledge and pursue a career in topics that most excite me and make an impact in aerospace engineering.”