8:30-9:00 EDT |
Workshop Co-chairs, Welcome, Introduction of IEEE-RAS TC-VAS and the VAS workshop |
9:00-10:30 EDT |
Panel 1: Requirements and Metrics for the Verification of Autonomous Systems Joanna Isabelle Olszewska (University of the West of Scotland, UK) Talks: 1.1 'Defining Requirements for Autonomous Systems' 1.2 'Functional Specification of Autonomous Behavior and Tasking' 1.3 'Tasking Standards and Interfaces for Agile Behavior' 1.4 'Measuring Autonomous Systems' 1.5 'Reasonable Requirements on Data to Validate Safe Perception' Panel discussion moderated by session co-chairs: What are the requirements and metrics for the verification of autonomous systems? |
10:30-11:00 EDT |
Coffee break (in-person coffee break & chat and/or virtual breakout sessions to socialize and chat) |
11:00-12:30 EDT |
Panel 2: Formal Approaches to and Standards for Verifying Autonomous Systems Dejanira Araiza-Illan (Johnson & Johnson, Singapore) Talks: 2.1 'Formal Approaches, Ontologies, and Standards for the Verification of Autonomous Systems' 2.2 'Formal Verification of Real-Time Autonomous Robots: An Interdisciplinary Approach' 2.3 'IEEE ECPAIS Ethics Certification Criteria: Laying the Framework for the Verification of Autonomous Intelligent Systems' 2.4 'Judgment Proxies for Certification of Autonomous Systems' 2.5 'An ODD-based Hazard Identification Framework for Artificial Intelligence-based Systems' 2.6 'Formal Methods and Autonomous Vehicles: Addressing Complexity' Panel discussion moderated by session co-chairs: Which formal and semi-formal approaches should be used to verify autonomous systems? |
12:30-13:00 EDT |
Meal break |
13:00-14:30 EDT |
Panel 3: Safety for Learning-Enabled Autonomous Systems Srishti Dhamija (John Hopkins University, USA) Talks: 3.1 'Safety Verification of Autonomous Systems: a Multi-Fidelity Reinforcement Learning Approach' 3.2 'Execution Failures and Learning-Based Robots: (How) Can Robots Analyse Their Own Failures?' 3.3 'Interrogating Performance Characteristics in Learning-enabled Autonomous Systems' 3.4 'Measures of Generalization Capability for Verifying and Predicting the Performance of ANN Algorithms' 3.5 'Safe Exploration and Learning of Nonlinear Dynamics: A Chance-Constraint Approach' 3.6 'Learning that Avoids Known Dangers and Unknown States' Panel discussion moderated by session co-chairs: How to ensure safety of learning-enabled autonomous systems? |
14:30-15:00 EDT |
Coffee break (in-person coffee break & chat and/or virtual breakout sessions to socialize and chat) |
15:00-16:30 EDT |
Panel 4: Trusting Autonomous Systems Signe Redfield (US Naval Research Laboratory, USA)
Talks: 4.1 'Trusting Autonomous Systems' 4.2 'Trustworthiness in Urban Air Mobility' 4.3 'Verification of Maritime Autonomous Systems by Means of a Modelling and Simulation Framework' 4.4 'Abstractions for Formal Verification of AI Controlled Autonomous Systems' 4.5 'Towards a Tool for Managing Validation Arguments in Systems Engineering' 4.6 'Safe Planning in Unstructured Semantic Environments' Panel discussion moderated by session co-chairs: How to increase trust in autonomous systems such as social robots? |
16:30-17:00 EDT |
Wrap up, summary of topics, follow up |