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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.

Link to Talk Abstracts.

2022 Day 1 - June 21

Technical Session 1


Session 1.A
Human Factors

Session Chairs: Victor Paul, Matt Castanier (GVSC)

Session 1.B
Perception, Planning, Teaming

Session Chairs: Mike Cole (GVSC)

1.30 PM Project 1.33, PI: Wang
Trust-based Symbolic Motion and Task Planning for Multi-robot Bounding Overwatch
Project 1.31, PI: Carruth
Comparison of Simulation and Physical Testing of Autonomous Ground Vehicles
1.50 Project 2.14, PI: Bethel
Dynamic Task Allocation and Understanding of Situation Awareness Under Different Levels of Autonomy in Closed-Hatch Military Vehicles
Project 1.35, PI: Bansal
Telerobotic Camera View-Frame Placement and Distributionally Risk-Receptive Network Interdiction Problems
2.10 Project 2.13, PI: Epureanu
Optimal Distribution of Tasks in Human-Autonomy Teams
Project 1.36, PIs: Ghaffari, Barton
Semantic Mapping in Dynamic Off-Road Environments
2.30 Project 2.12, PI: Ersal
Cognitive Modeling of Human Operator Behavior during Interaction With Autonomous Systems
Project 1.37, PI: Popa
Ultrasound-based perception in complex scenes using specialized convolutional neural networks
2.50 Project 2.16, PI: Chai
Situated Dialogue for Handling Unexpected Situation in Autonomous Driving Agents
Project 1.30, PI: Venkatachalam
Novel Data-Driven Algorithms for Autonomous Vehicle Path Planning Problems During Planning and Evaluation Stages
3.10 - 3.30 Project 2.15, PI: Mihalcea
In-the-wild Question Answering: Toward Natural Human-Autonomy Interaction
Project 5.20, PI: Epureanu
Dynamic Teaming of Autonomous Vehicles to Improve Operational Effectiveness of Vehicle Fleets

2022 Day 2 - June 22

Technical Session 2


Session 2.A
Materials, Assessment, Planning

Session Chairs: Katie Sebeck, Vamshi Korivi (GVSC)

Session 2.B
Quantum Computing, Learning, Requirements, Specifications, Trade Space Analysis

Session Chairs: Mike Cole (GVSC)

10.45 AM Project 3.18, PI: Barrett
Materials design of polycarbonates at the atomistic-scale with machine learning
Project 1.A73, PI: Veerapaneni
Continuous-Variable Quantum Approximate Optimization Algorithm: Application to Ground Vehicle Offroad Mobility
11.05 Project 2.A72/74, PI: Green
Assessing the Quality of Driving On and Off-Road Vehicles: Measures and Statistics of Driving Performance
Project 1.A81, PI: Veerapaneni
Tensor network approaches for fast and data efficient learning: applications to imitation learning from video data
11.25 Project 4.A87, PI: Ghasemi
Energy Efficiency Optimization and Control of a Fully Electric Off-Road Vehicle with Individual Wheel Drives
Project 1.A75, PI: Krovi
Deep Reinforcement Learning Approaches to CPS Vehicle Deployments
11.45 Project 3.A88, PI: Vantsevich
Technical Approaches and Analysis of Vehicle Conceptual Design for Mobility and Autonomous Mobility
Project 5.A78, PI: Rai
Computational Representation and Analysis of Mission and System Requirements
12.05 PM Project 1.A90, PIs: Mourelatos/Hu
Mobility Prediction of Off-Road Ground Vehicles Using a Dynamic Ensemble of NARX Models
Project 5.A79, PI: Mocko
A Formal Ontology and Simulation Model Library to enable Model Reuse and Integration
12.25 - 12.45 Projects 5.19 & 5.A71, PIs: Vasudevan, Epureanu
5.19: Adversarial Scene Generation for Virtual Validation and Testing of Off-Road Autonomous Vehicle Performance
5.A71: Building Unreal Engine Scenes from Recorded Data
Project 5.A80, PI: Turner
Exploring a Synthetic Tradespace through Decomposition and Coordination