Technical Talks Matrix
Below is a draft of this year’s technical talks matrix.
The Technical Talks allow ARC projects to report on their research goals and outcomes. Each talk will consist of a 15-minute presentation followed by 5-minute for Q&A.
2025 Day 1 - June 17
Technical Session 1
1A: Perception and Planning Session Chair: Jon Smereka, Parasmothy Jayakumar (GVSC) |
1B: Human-Autonomy Interactions Session Chair: Victor Paul (GVSC) |
1C: Materials and Structures Session Chair: Katie Sebeck (GVSC) |
|
0:00 | Project 1.38, PI: Carruth Recognizing and Reconstructing Distorted and Obscured Perceptual Sensor Data Resulting from Soiling of the Sensor |
Project 2.17, PIs: Tilbury, Robert Estimating and Calibrating Situation Awareness for Improving Human-Robot Teaming Performance |
Project 3.19, PI: Lu, Epureanu, Popa Intelligent Ultrasound to Adaptively Control Interfacial Properties and Reactions |
0:20 | Project 1.39, PI: Al Faruque Adaptive and Efficient Perception for Autonomous Ground Vehicles Operating in Highly Stochastic Environments under Sensing Uncertainties |
Project 2.18, PI: Kim Investigating Required Transparency Information and Display Features through an Empirical Study using a Dual-tasks HAT Simulation |
Project 3.23, PI: KW Wang Adaptive Structures with Embedded Autonomy for Advancing Ground Vehicles |
0:40 | Project 1.40, PI: Goodin Touch-based Sensing for Evaluating Vegetation in Complex Navigation Environments |
Project 2.19, PIs: Barton, Vermillion Hierarchical Game-Theoretic Learning for Mixed Human-Autonomous Vehicle Networks |
Project 3.24, PI: Valdevit, Apelian Additively Manufactured All-metallic Metamaterial Solutions for Protection of Electronic Systems in Autonomous Vehicles |
1:00 | Project 1.41, PIs: Ersal, Epureanu Resilient Trajectory Planning for Extreme Mobility on Challenging Slopes |
Project 2.20, PIs: Carruth, Bethel A Shared Meta-Model Framework to Enable Multi-Directional Reliance for Effective Collaborative Human-Autonomy Teaming |
Project 3.27, PIs: Veerapaneni, Stokes Tackling complementarity problem at scale via continuous-variable quantum computing |
1:20 - 1:40 | Project 1.42, PI: Vasudevan Hybrid Learning-based Policy for High-Speed Autonomous Off-Road Navigation |
Project 2.21, PIs: Tilbury, Robert Enhancing UGV Navigation with Adaptive Human Intervention |
- |
2025 Day 2 - June 18
Technical Session 2
2C: Digital Engineering and Multi-Agent Systems Session Chair: Matt Castanier, Steve Rapp (GVSC) |
2B: Human-Autonomy Interactions Session Chair: Victor Paul (GVSC) |
2C: Terramechanics Session Chair: Katie Sebeck (GVSC) |
|
0:00 | Project 5.21, PI: Parsa Multi-Phase Vector Symbolic Architectures for Distributed and Collective Intelligence in Multi-Agent Autonomous Systems |
Project 2.22, PI: Yue Wang Trust-Calibrated Meta-Learning for Adaptive Multi-Robot Motion Planning under Temporal Logic Specifications in Human-Robot Collaborative Bounding Overwatch |
Project 3.20, PI: Sugiyama Modeling of a Ground Vehicle Operating in Shallow Water |
0:20 | Project 5.22, PI: Vlahopoulos Unsupervised Testing and Verification for Software Systems of Ground Autonomous Vehicles |
Project 2.23, PI: Gorodetsky Latent-space generative learning for gameplay scenario generation at scale |
Project 3.22, PIs: Sandu, Yerro-Colom Tire–mud Interaction Modeled Using Smoothed Particle Hydrodynamics and Finite Element Analysis (SPH-FEA) Techniques and Experimental Validation |
0:40 | Project 5.23, PI: Epureanu Automated Co-Design of Vehicles and their Teaming Operations for Optimal Off-Road Performance |
Project 2.A97, PI: Louie Virtual Experimentation for Soldier Evaluation of Autonomous and Non-Autonomous Technologies Using Multi-User Immersive Gaming Environments |
Project 3.25, PI: Sugiyama Machine Learning-Augmented Multi-Fidelity Tire-Soil Interaction Model for Autonomous Off-Road Mobility Prediction |
1:00 - 1:20 | - | Project 2.A98, PI: Louie Multi-Objective Rapid Generation of Virtual Environments and Data Analysis in Multi-User Immersive Gaming Environments for Testing New Crew Interface Concepts |
- |
Contact: arc-event-inquiries@umich.edu