Home Call for Papers Keynotes Program Organization

Workshop starts at 10am EST.

Welcome

10:00 -10:15    Introductory Remarks

Keynote 1

10:15 -11:15    George Pappas, UPS Foundation Professor and Chair, Electrical and Systems Engineering, University of Pennsylvania

Session 1: Trustworthy Planning and Control

11:15 - 11:30    Tarek Abdelzaher, UIUC; Sanjoy Baruah, WashU; Christopher Gill, WashU; Yevgeniy Vorobeychik, WashU; Ning Zhang, WashU; and Xuan Zhang, WashU.   Research challenges for combined autonomy, AI, and real-time assurance.
11:30 - 11:45    Tomaso Mannucci, Intelligent Autonomous Systems; Jan-Pieter Paardekooper, Radboud University Nijmegen; Joris Sijs, Acoustic & Sonar   Aligned planning via multi-attribute choquet integral preference representation.
11:45 - 12:00    Wenbin Wan, Hunmin Kim, and Naira Hovakimyan, UIUC    Towards trustworthy autonomy: reliable and efficient interval estimation and learning for robust model predictive control.
12:00 - 12:15    Pan Zhao, Zhiyao Guo, Yikun Cheng, and Naira Hovakimyan, UIUC.    Guaranteed nonlinear control with DNN-learned dynamics using robust contraction metrics and disturbance estimation.
12:15 - 12:30    Nathaniel Gordon and Gregory Falco, JHU.    Reference architectures for autonomous on-orbit servicing, assembly and manufacturing (OSAM) mission resilience.

Break

12:30 -1:30    Lunch Break

Keynote 2

1:30-2:30   Ben Zhao, Neubauer Professor of Computer Science,University of Chicago.

Session 2: Adversarial Testing and Robustness Certification

2:30 - 2:45    Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang, and Yevgeniy Vorobeychik, WashU.    A fast and differentiable adversarial testing framework for simulated autonomous driving.
2:45 - 3:00    Fan Wu, UIUC; Linyi Li, UIUC; Zijian Huang, UIUC; Yevgeniy Vorobeychik, WashU; Ding Zhao, CMU; and Bo Li, UIUC.    CROP: Certifying robust policies for reinforcement learning through functional smoothing.
3:00 - 3:15    Fan Wu, UIUC; Linyi Li, UIUC; Huan Zhang, CMU; Bhavya Kailkhura, LLNL; Krishnaram Kenthapadi, Amazon; Ding Zhao, CMU; and Bo Li, UIUC.    COPA: Certifying robust policies for offline reinforcement learning against poisoning attacks.

Break

3:15 -3:30

Session 3: Ethics, fairness, and regulation.

3:30 - 3:45    Ashwin Kumar, Yevgeniy Vorobeychik, and William Yeoh, WashU.    Intent matters: improving zonal fairness of ridesharing systems.
3:45 - 4:00    Shahin Atakishiyev, U Alberta; Mohammad Salameh, Huawei; Hengshuai Yao, Huawei; and Randy Goebel, U Alberta.    Towards safe, explainable, and regulated autonomous driving.
4:00 - 4:15    Ann-Katrin Reuel, UPenn; Mark Koren, Stanford; Anthony Corso, Stanford; and Mykel J. Kochenderfer, Stanford.    Using adaptive stress testing to identify paths to ethical dilemmas in autonomous systems.

Session 4: Computer Vision

4:15 - 4:30    Abhinav Sagar, VIT.    AASeg: Attention aware network for real time semantic segmentation.
4:30 - 4:45    Abhinav Sagar, VIT.    AA3DNet: Attention augmented real time 3D object detection.
4:45 - 5:00    Feng Hu, NVIDIA.    Robust seatbelt detection and usage recognition for driver monitoring systems. paper

Discussion

5:00 -6:00    Discussion: future vision and directions in trustworthy AI

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