ACC 2025 Workshop: Data-Driven and Risk-Aware Control for Safety-Critical Autonomous Systems
ACC 2025 Workshop: Data-Driven and Risk-Aware Control for Safety-Critical Autonomous Systems
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Date: July 7th, Monday, 2025
Date: July 7th, Monday, 2025
Time: 8:20 - 17:00, Mountain Standard Time
Time: 8:20 - 17:00, Mountain Standard Time
Location: Denver, Colorado, USA
Location: Denver, Colorado, USA
Abstract
Abstract
As autonomous systems are increasingly integrated into safety-critical applications, ensuring their reliable performance under uncertainty is crucial. Traditional control methods often face difficulties balancing high performance with risk management, especially in dynamic environments with incomplete or evolving data. This workshop will address these challenges by exploring the integration of data-driven approaches with risk-aware control strategies. It will feature both theoretical advancements and real-world applications, focusing on balancing the uncertainty inherent in data-driven methods with the conservatism required for risk-aware control. Invited speakers will present state-of-the-art advancements, progressing from theoretical frameworks to successful implementations in autonomous systems. Case studies from domains such as autonomous vehicles, medical robots, and industrial processes will demonstrate how risk-aware control can enhance system safety and reliability in unpredictable environments.
Program
Program
08:20 – 08:30
Welcoming Remarks
Welcoming Remarks
08:30 – 09:00
Comprehensive Talk 1
Comprehensive Talk 1
Safe Control for Learning-Enabled and Uncertain Autonomous Systems
Safe Control for Learning-Enabled and Uncertain Autonomous Systems
Xiangru Xu, Assistant Professor
University of Wisconsin Madison
09:00 – 09:30
Comprehensive Talk 2
Comprehensive Talk 2
A Variational Approach to Deceptive Attack Synthesis for Nonlinear Cyber-Physical Systems
A Variational Approach to Deceptive Attack Synthesis for Nonlinear Cyber-Physical Systems
Takashi Tanaka, Associate Professor
Purdue University
09:30 – 10:00
Coffee Break
Coffee Break
10:00 – 10:30
Comprehensive Talk 3
Comprehensive Talk 3
Data-Driven Verification and Control of Cyber-Physical Systems
Data-Driven Verification and Control of Cyber-Physical Systems
Majid Zamani, Associate Professor
University of Colorado Boulder
10:30 – 11:00
Comprehensive Talk 4
Comprehensive Talk 4
Learning-based Adaptive and Stable In-hand Manipulation in Simulation and Real-world Environments
Learning-based Adaptive and Stable In-hand Manipulation in Simulation and Real-world Environments
Xiaoli Zhang, Associate Professor
Colorado School of Mines
11:00 – 11:30
Comprehensive Talk 5
Comprehensive Talk 5
Modeling and Learning of Risk Sensitivity in Human-Machine Systems
Modeling and Learning of Risk Sensitivity in Human-Machine Systems
Wenlong Zhang, Associate Professor
Arizona State University
11:30 – 12:00
Comprehensive Talk 6
Comprehensive Talk 6
Robotic Behavior Learning from Human Feedback: Recent Progress and Open Challenges
Robotic Behavior Learning from Human Feedback: Recent Progress and Open Challenges
Yongcan Cao, Professor
University of Texas at San Antonio
12:00 – 13:40
Lunch Break
Lunch Break
13:40 – 14:00
Lightning Talk 1
Lightning Talk 1
Learning-enabled abstraction for uncertainty-aware robotic planning
Learning-enabled abstraction for uncertainty-aware robotic planning
Mengxue Hou, Assistant Professor
University of Notre Dame
14:00 – 14:20
Lightning Talk 2
Lightning Talk 2
A Conformal Prediction Perspective on Planning Under Uncertainty
A Conformal Prediction Perspective on Planning Under Uncertainty
Anushri Dixit, Assistant Professor
University of California, Los Angeles
14:20 – 14:40
Lightning Talk 3
Lightning Talk 3
Do Large Language Models Strategically Control Information in Multi-Agent Environments?
Do Large Language Models Strategically Control Information in Multi-Agent Environments?
Mustafa Karabag, Postdoctoral Fellow
University of Texas at Austin
14:40 – 15:00
Lightning Talk 4
Lightning Talk 4
Actively Learning to Coordinate in Multiplayer Games
Actively Learning to Coordinate in Multiplayer Games
Yue Yu, Assistant Professor
University of Minnesota Twin Cities
15:00 – 15:30
Coffee Break
Coffee Break
15:30 – 15:50
Lightning Talk 5
Lightning Talk 5
Adaptive Informative Path Planning under Uncertainty via Gaussian Processes
Adaptive Informative Path Planning under Uncertainty via Gaussian Processes
George Kontoudis, Assistant Professor
Colorado School of Mines
15:50 – 16:10
Lightning Talk 6
Lightning Talk 6
Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
Guangyi Liu, Postdoctoral Research Scientist
Amazon Robotics
16:10 – 16:30
Lightning Talk 7
Lightning Talk 7
Ultra-Local Model Prediction Control and its Application to Automotive Systems
Ultra-Local Model Prediction Control and its Application to Automotive Systems
Zejiang Wang, Assistant Professor
University of Texas at Dallas
16:30 – 17:00
Panel Discussion and Concluding Remarks
Panel Discussion and Concluding Remarks
Orgainzing Team
Orgainzing Team
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