ARC - Autonomative Research Center

Intro.

미국 Michigan 대학의 Autonomative Research Center는 DARPA와 함께 무인 자동차에 대한 다양한 기술을 연구하고 있다. (https://arc.engin.umich.edu/) 

ARC의 주요 연구 분야는 크게 5개의 카테고리로 분류하여 소개되어 있다. 

• Vehicle controls & behaviors
• Human-autonomy interaction
• Advanced structures and materials
• Intelligent power systems
• Systems of systems & integration

이 중에서 나는 먼저 Systems of systems & integration 분야의 연구 주제들에 관심을 갖고 있다. 

Systems of systems & integration 분야는 Drs. Matt Castanier와 Steve Rapp가 프로젝트 리더이며, 프로젝트 현황은 다음과 같다. 

Enhancing Military Digital Twins: Leveraging Dynamic Data-Driven Application Systems for Complex Operational Scenarios	Active
LLM-Enabled Operation Management of Multi-Agent Systems	Active
Automated Co-Design of Vehicles and their Teaming Operations for Optimal Off-Road Performance	Active
Unsupervised Testing and Verification for Software Systems of Ground Autonomous Vehicles	Active
Multi-Phase Vector Symbolic Architectures for Distributed and Collective Intelligence in Multi-Agent Autonomous Systems	Active
Modular Closed-loop, Real-time, Physics-based Software Simulator for Unmanned Ground Vehicles in Unstructured Terrain Environments	Active
Best Practices for Computational Tradespace Exploration, Analysis and Decision‐Making	Completed
Model Interface Specification and Environment to Support Model Integration	Completed
Computational Representation and Analysis of Mission and System Requirements	Completed
Energy Management of Multi‐Scale Vehicle Fleets	Completed
ADAS Tools for Verification, Validation and Development in Synthetic Environments	Completed
Dynamic Teaming of Autonomous Vehicles to Address Intelligent Adversarial Actions	Completed
Adversarial Scene Generation for Virtual Validation and Testing of Off-Road Autonomous Vehicle Performance	Completed
AI-Based Attacker-Defender Dynamics of Adaptable Fleets of Autonomous Vehicles	Completed
An Architectural Framework for Virtual Prototyping of Next Generation Combat Vehicles	Completed
Probability of Mobility for Mission Planning of Autonomous Ground Vehicles at “High Stress” Environments	Completed
Resilient Teaming: Fleet Organization and Decision Making in Heterogeneous Vehicle Teams to Meet Energy Requirements in Restricted and Unknown Environments	Completed
Communication-Constrained Multi-Robot Coordination	Completed
Modeling and Simulation of Repairable Systems for Depot Maintenance and Warranty Forecasting using an Effective Age Approach	Completed
Intelligent Reconnaissance: An Energy-Efficient Method for Multi-Robot Reconnaissance in an Unknown Environment	Completed
Situational Awareness and Sustained Survivability through Man/Unmanned Teaming	Completed
Parameter Synthesis and Requirement Analysis for Cyber-Physical Control System Design	Completed
Autonomously Learning Mobility Limits	Completed
New Fatigue Reliability and Random Vibration Methods for Linear and Nonlinear Systems	Completed
Connected Laboratories for Connected Automated Vehicles	Completed
Strategic Adaptive Vehicle Systems Feasibility Study	Completed
Development and Laboratory Implementation of an Accelerated Testing Method for Vehicle Systems using Time-Dependent Reliability/Durability Principles	Completed
Optimal Crowdsourcing Framework for Engineering Design	Completed
Optimal Operation and Depot Maintenance of Repairable Systems	Completed
A Novel Integrated Approach for a Resource-Efficient Design Validation Co-process	Completed
UGV System Reliability Modeling & Improvement	Completed
Battery Thermal Packaging Design	Completed
Multilevel Vehicle Design: Fuel Economy, Mobility, and Safety Considerations	Completed
Simulation-based Validation and Certification of Vehicle Tests and Designs	Completed
Modeling, Design, and Control of Military V2MG2V Microgrid Systems	Completed

이 프로젝트 중에서 Bogdan Epureanu 교수가 이끄는 Automated Co-Design of Vehicles and their Teaming Operations for Optimal Off-Road Performance 프로젝트를 중심으로 관련 기술의 동향을 살펴보고자 한다. 

2. Automated Co-Design of Vehicles and their Teaming Operations for Optimal Off-Road Performance (2023~)

Reference : https://arc.engin.umich.edu/research/projects/automated-co-design-of-vehicles-and-their-teaming-operations-for-optimal-off-road-performance/

Automotive Research Center

 

프로젝트 소개

 

미시건 대학의 Bogdan Epureanu 교수가 이끄는 프로젝트 팀이다.

• 다수 차량의 야외 주행 성능을 최적화하기 위해 차량과 차량 간 협업을 동시에 설계하는 방법에 대한 연구를 진행하고 있다. 여러 대의 차량이 최소한의 자원을 통해 공통의 임무를 최적으로 수행하기 위한 최적화 기법을 연구한다. 
• 다수 차량의 협업을 위해 군집 크기(fleet size), 차체의 물리적 속성, 차량 운용에 대한 알고리즘(경로계획, 통신) 등을 고려하여 세 가지 주제의 연구를 진행하고 있다.
  • 사전 정의된 파라미터를 기반으로 Generative Network(생성형 AI)를 활용하여 야지 주행에 최적화된 자동차 파라미터를 자동으로 설계하는 방법에 대한 연구를 진행한다. 
  • 차량 파라미터를 자동 설계 하기 위한 인간과 차량 간 지능형 협업을 위한 연구를 진행하며, ARC의 통신 및 Dynamic teaming을 기반으로 한 알고리즘 결과와 연계된 연구를 진행한다.
  • Dynamic teaming을 위한 모듈화 차량 설계 연구 결과 와 연계하여 다양한 차량 특성이 적응적으로 플러그 인 될 수 있도록 자동화된 차량 설계 방법을 연구한다.