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.
2023 Day 1 - May 9
Technical Session 1
Session 1.A | Session 1.B | |
| 1:30 | Project 1.36, PIs: Ghaffari, Barton Convolutional Bayesian Kernel Inference for Real-Time 3D Semantic Mapping | Project 2.15, PI: Mihalcea In-the-wild Question Answering: Toward Natural Human-Autonomy Interaction |
| 1:50 | Project 1.38, PI: Carruth Automated Recognition of Distorted and Obscured Perceptual Sensor Data | Project 2.16, PI: Chai Language Communication and Collaboration with Autonomous Vehicles Under Unexpected Situations |
| 2:10 | Project 3.17, PI: Sugiyama Enhanced Multiscale Off‐Road Mobility Prediction Capability with Machine Learning Constitutive Modeling for Large Deformable Granular Terrain | Project 2.17, PIs: Tilbury, Robert Estimating and Calibrating Situation Awareness for Improving Human-Robot Teaming Performance |
| 2:30 | Project 1.34, PI: Vlahopoulos Unsupervised Clustering for Image Data |
Project 1.33, PI: Wang Trust-based Symbolic Motion and Task Planning for Multi-robot Bounding Overwatch |
| 2:50 | Project 3.21, PI: Filipov Design of Modular Origami Structures for Multifunctional Cloaking and Protection |
Project 2.12, PI: Ersal Cognitive Modeling of Human Operator Behavior during Interaction with Autonomous Systems |
| 3:10 - 3:30 | Project 3.18, PI: Barrett Materials Design of Polycarbonates at the Atomistic Scale with Machine Learning | Project 2.13, PI: Epureanu Optimal Distribution of Tasks in Human-Autonomy Teams: Bayesian Online Strategy Adaptation in Open-world Novelty |
2023 Day 2 - May 10
Technical Session 2
Session 2.A |
Session 2.B |
|
| 10:45 | Project 3.20, PIs: Martin, Harwood, Sugiyama Modeling of a Ground Vehicle Operating in Shallow Water |
Project 5.19, PIs: Vasudevan, Epureanu Adversarial Scene Generation for Virtual Validation and Testing of Off-Road Autonomous Vehicle Performance |
| 11:05 | Project 3.22, PIs: Sandu, Yerro-Colom Application of Terramechanics to the Physics-based Modeling of Large Deformations in Undrained Saturated Clay–lugged Tire Interaction |
Project 1.A81, PIs: Gorodetsky, Veerapaneni Incremental Tensor-network Compression: With Applications to Feature Extraction for Behavioral Cloning and Inverse Problems |
| 11:25 | Project 3.19, PI: Lu Intelligent Ultrasound to Adaptively Control Interfacial Properties and Reactions |
Project 1.35, PI: Bansal Adversarial Telerobotic Camera View-Frames Placement and Shortest Path Problems with Distributional Ambiguity |
| 11:45 | Project 4.37, PI: Naber Risk Averse Vehicle Energy, Thermal Signature Management and Control to Enable Silent Mobility/Watch |
Project 2.A92, PI: Louie A Virtual Spectator System for a Multi-User Video Game Environment |
| 12:05 PM | Project 1.A90, PIs: Mourelatos, Hu Efficient Data-Driven Mobility Model Construction for Mission Planning Considering Uncertainty |
Project 2.14, PI: Carruth, Bethel Evaluating Driver Performance, Situation Awareness, and Cognitive Load at Different Levels of Partial Autonomy with Dynamic Task Allocation |
| 12:25 - 12:45 | Project 1.A73, PI: Veerapaneni Warm-starting Quantum Approximate Optimization Algorithm | Project 2.A72/74, PI: Green Assessing the Quality of Driving On and Off-Road Vehicles: Measures and Statistics of Driving Performance |
Contact: arc-event-inquiries@umich.edu