Workshop Schedule
Workshop Schedule
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Generalization Theory for Language-Instructed Robots
Challenges to Robotic Perception in Space
Regulating Explainable AI: Technical Challenges and Opportunities
Certifiable Perception Algorithms and Runtime Monitoring for High-Integrity Autonomous Systems
Multi-Factor Visual SLAM Failures in Mobile Service Robot Deployments
Amanda A Adkins (University of Texas at Austin)*; Taijing Chen (University of Texas at Austin); Sadanand Modak (UT Austin); Joydeep Biswas (The University of Texas at Austin)
Representation Reliability for Foundation Models
Young-Jin Park (Massachusetts Institute of Technology)*; Hao Wang (MIT-IBM Watson AI Lab); Shervin Ardeshir (Netflix); Navid Azizan ( Massachusetts Institute of Technology)
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO
Giovanni Cioffi (University of Zurich)*; Leonard Bauersfeld (University of Zurich); Davide Scaramuzza (University of Zurich & ETH Zurich, Switzerland)
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
Yasasa Abeysirigoonawardena (University of Toronto)*; Kevin Xie (University of Toronto); Chuhan Chen (Carnegie Mellon University); Salar Hosseini Khorasgani (University of Toronto); Ruiqi Wang (Stanford University); Florian Shkurti (University of Toronto)
Datasets and Benchmarking for Offline Safe Rienforcement Learning
Zuxin Liu (Carnegie Mellon University)*; Zijian Guo (Carnegie Mellon University); Haohong Lin (Carnegie Mellon University); Yihang Yao (Carnegie Mellon University); Jiacheng Zhu (Carnegie Mellon University); Zhepeng Cen (Carnegie Mellon University); Hanjiang Hu (Carnegie Mellon University); Wenhao Yu (Google Research); Tingnan Zhang (Google); Jie Tan (Google); DING ZHAO (Carnegie Mellon University)
Building Trust in AI for Autonomous Vehicles
Aligning Robots with Human Preferences
When and Why Will My Robot Fail?
Uncertainty Quantification through Conformal Regressors and Predictive Systems
Safety Requirements and Methodologies