Posters

Every active ARC project contributes a poster. It is an excellent opportunity to interact with researchers and network.

1.39 Adaptive and Efficient Perception for Autonomous Ground Vehicles Operating in Highly Stochastic Environments under Sensing Uncertainties

1.41 Resilient Trajectory Planning for Extreme Mobility on Challenging Slopes

1.42 Hybrid Learning-based Policy for High-Speed Autonomous Off-Road Navigation

1.43 Enhancing Fault Tolerance and Resilience in Autonomous Ground Vehicles through Detection and Diagnosis of Physical and Cyber Attacks on Perception Systems

1.44 NEMOSYS: Neural Memory Organization System

1.45 Physics Forward Co-Design of Small, Enduring, Multimodal Ground Robots for Reconnaissance

1.46 Graph-Enhanced Vision-Language Sensor Fusion for Robust Perception in Data-Scarce and Ambiguous Driving Scenarios

1.A122 UGV Reconnaissance for a Platoon Vehicle in Rough Terrains

1.A123 Model-free Tracking Control Design for a Class of Nonaffine Nonlinear Systems

1.A124 Modeling and Simulation Fundamentals of Agile Vehicle Maneuvers in Hyper-Dynamic Environments

1.A125 Verified Planning for Uncrewed Ground Vehicles in Dynamic Environments

1.A130 AI-Enhanced Tools for Autonomous Vehicle Assessment Data Collection and Annotation

1.A131 Novel AI-Based Analysis of AGV Performance and Failure Modes

1.A132 Bridging Data Deficiencies: Intelligent Analysis and Synthetic Data Generation for Autonomous Vehicle Assessment

2.19 From Takeover to Teamwork: Adaptive Human-Autonomy Teaming Within and Between Vehicles

2.20 A Shared Meta-Model Framework to Enable Multi-Directional Reliance for Effective Collaborative Human-Autonomy Teaming

2.21 Enhancing UGV Navigation with Adaptive Human Intervention

2.22 Trust-Calibrated Meta-Learning for Adaptive Multi-Robot Motion Planning under Temporal Logic Specifications in Human-Robot Collaborative Bounding Overwatch

2.24 Multimodal Cognitive Load Detection for Human–Machine Integrated Formations

2.25 Dynamic Allocation of Information Through Auditory, Visual, and Haptic Interfaces to Minimize Cognitive Burden and Maximize Performance During Crew-AI Teaming

2.26 Shared Mental Models Improve Performance in Human-Robot Teams During Unforeseen Events

2.27 Acoustic Haptic Hologram Integrated with Augmented and Virtual Realities for Human Autonomy Communication

2.A127 A3GENT: Engineering Adaptive Adversary Digital Twins for Autonomous Vehicle Validation

3.23 Adaptive Structures with Embedded Autonomy for Advancing Ground Vehicles

3.25 Machine Learning-Augmented Multi-Fidelity Tire-Soil Interaction Model for Autonomous Off-Road Mobility Prediction

3.27 Tackling complementarity problem at scale via continuous-variable quantum computing

3.28 Advancing Perception and Threat Identification of Autonomous Vehicles via Reconfigurable Phononic Metastructures

3.A116 Improving the Cyclability of Li-S Batteries Through Fe-Catalyzed Polysulfide Conversion

3.A117 Polymer Design and Characterization for Anhydrous PEM Fuel Cells

3.A117 Characterization of Anhydrous Proton Exchange Membranes for High-Temperature Hydrogen Fuel Cells

3.A118 Structural Integrity Assessment of Army Ground Vehicle Structures for Predictive Maintenance

3.A119 Development and Application of Friction-Free Bending for Assessment of Material Properties under Complex Loading Conditions

3.A120 Semi-Empirical Terramechanics-based Tire and Soil Separation for Tire Behavior Characterization

3.A121 Analytical Fundamentals of Digital Image Correlation (DIC) for Characterization of Agile Tire Dynamics

4.38 Suppression of Junction Temperature Fluctuation in Power Semiconductors Using Phase Change Material

5.21 Brain Inspired Probabilistic Occupancy Grid Mapping with Vector Symbolic Architectures

5.22 Unsupervised Testing and Verification for Software Systems of Ground Autonomous Vehicles

5.23 Automated Co-Design of Vehicles and their Teaming Operations for Optimal Off-Road Performance

5.24 LLM-Enabled Operation Management of Multi-Agent Systems

5.25 Enhancing Military Digital Twins: Leveraging Dynamic Data-Driven Application Systems for Complex Operational Scenarios

5.26 Trajectory Planning with Omni-Experiential Learning for Robust Fleet Mobility on Extreme Off-Road Terrain

5.27 Adaptive Vision-Language and Vision-Language-Action Model Enhanced Offroad Autonomy for Heterogeneous Multi-Agent Systems

5.28 Provably Correct Fleet Operations and Vehicle SoS Integration with Assume-Guarantee Contracts

5.29 Conformal Prediction for Safe AI-Enabled Multi-Agent Systems

5.A126 Autonomous Multi-UAV Reconnaissance in a Complex Environment

IE.06 Virtual Engineering Evaluation Tests (VEET) for Autonomous Vehicle Testing