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Technical Session Matrix

The May 14-15 Annual Program Review is being moved online. Changes to this matrix and how you can attend remotely will be announced soon.

Click here for instructions for session leads and presenters Each technical talk will last 20 minutes, with a 15 minute presentation followed by 5 minutes of questions and answers. We will start and end on time so that the parallel sessions are synchronized. The session lead may open the session with brief remarks about the theme. Presentations will start promptly, managed by the session lead.

The information on this page is a sample, showing last year’s 2019 technical session matrix. Details will be posted of the upcoming 2020 annual review as they are confirmed.

May 14 1A: Human-Autonomy Teaming 1B: Intelligent Multi-vehicle Systems 1C: Terrain Modeling and Structures
  Session Lead: TBA Session Lead: TBA Session Lead: TBA
  Proj. 2.9 PI: Tilbury
Modeling Bi-directional Trust in Semi-autonomy for Improved System Performance
Proj. 5.18 PIs: Mourelatos, Hu
Probability of Mobility for Mission Planning of Autonomous Ground Vehicles at “High Stress” Envs.
Proj. 1.21 PI: Sugiyama
Physics‐Based Multiscale Continuum‐Discrete Deformable Terrain Model for Off‐Road Mobility Simulation
  Proj. 2.13 PI: Epureanu
Optimal Distribution of Tasks in Human-Autonomy Teams
Proj. 1.26 PI: Panagou
Adversarially Robust Coordination for Autonomous Multi-Vehicle Systems
Proj. 1.22 PI: Veerapaneni
Fast Numerical Algorithms for High-fidelity Simulation of Terramechanics
  Proj. 1.27 PI: Ersal
Mutually-Adaptive Shared Control between Human Operators and Autonomy in Ground Vehicles
Proj. 5.13 PI: Epureanu
AI-Based Attacker-Defender Dynamics of Adaptable Fleets of Autonomous Vehicles
Proj. 3.14 PIs: Vlahopoulos, Dong
Fatigue Resistance Optimization of Armored Vehicle Structures Using Weld Master S-N Curve
  Proj. 2.12 PI: Ersal
Cognitive Modeling of Human Operator Behavior during Interaction with Autonomous Systems
Proj. 5.17 PI: Olson
Communication-Constrained Multi-Robot Coordination
Proj. 3.15 PI: Popa
Sonar-Based Sensors for Autonomous Vehicles Using Passive and Active Metamaterials
  Proj. 2.10 PI: Gillespie
The Role of Roles: Adaptive Haptic Shared Control for Remote Steering of an Unmanned Ground Vehicle
Proj. 5.16 PI: Barton
Resilient Teaming: Fleet organization and decision making in heterogeneous vehicle teams
Proj. 4.35 PIs: Epureanu, Hofmann
Novel Hybrid Electric Powertrains Enabled by Models of Electro-Magnetic-Structural Dynamics

 

Day 2

May 15 2A: Intelligent Vehicle Behavior 2B: Power & Energy  
  Session Lead: TBA Session Lead: TBA  -
  Proj. 1.30 PI: Venkatachalam
Novel Data-Driven Algorithms for Autonomous Vehicle Path Planning Problems with Uncertain Data Parameters
Proj. 4.30 PI: Jansons
Boundary Conditions for Predictive Combustion Simulation
 -
  Proj. 1.31 PI: Carruth
Evaluating Sensitivity of Autonomous Algorithms to Sensor Error and Environmental Conditions
Proj. 4.34 PI: Siegel
Computational Discovery of Materials for Energy Storage: High Throughput Screening and Machine Learning
 -
  Proj. 5.14 PI: Ozay
Parameter Synthesis and Requirement Analysis for Cyber-Physical Control System Design
Proj. 4.33 PI: Stefanopoulou
Advanced Battery Diagnostics: Decode the information in Electrode Swelling
 -
    Proj. 4.29 PI: Boehman
Ignition Studies for Kinetic Mechanism Development and Validation
 -