Conference Program on January 21, 2026 - Room: Garnet 215
Making Embodied AI Reliable with Testing and Formal Verification
Here is a downloadable version for your convenience.- 08:30 – 08:45 | Opening Remarks
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08:45 – 09:30 | Invited Talk
Speaker: Prof. Guy Van Den Broeck (UCLA)
Title: Symbolic Reasoning in the Age of Large Language Models -
09:30 – 10:30 | Technical Session 1 – Embodied AI, Reinforcement Learning, World Models & Multi-Robot Safety (4 Papers)
Each paper: 10-minute presentation + 5-minute Q&A
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Inferring Causal Graph Temporal Logic Formulas to Expedite Reinforcement Learning in Temporally Extended Tasks
Hadi Partovi Aria and Zhe Xu -
Towards a Feedback-driven Adaptive Embodied Environment Generator for Training Robotic Agents
Teresa Yeo, Dulaj Weerakoon, Dulanga Weerakoon and Archan Misra -
Explicit World Models for Reliable Human-Robot Collaboration
Kenneth Kwok, Basura Fernando, Qianli Xu, Vigneshwaran Subbaraju, Dongkyu Choi and Boon Kiat Quek -
Robust Evacuation for Multi-Drone Failure in Drone Light Shows
Minhyuk Park, Aloysius K. Mok and Tsz-Chiu Au
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Inferring Causal Graph Temporal Logic Formulas to Expedite Reinforcement Learning in Temporally Extended Tasks
- 10:30 – 11:00 | Coffee Break
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11:00 – 12:15 | Technical Session 2 – Verification, Certification, Program Analysis & LLM Safety (5 Papers)
Each paper: 10-minute presentation + 5-minute Q&A
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Formal Safety Guarantees for Autonomous Vehicles using Barrier Certificates
Oumaima Barhoumi, Mohamed H Zaki and Sofiène Tahar -
A New Strategy for Verifying Reach-Avoid Specifications in Neural Feedback Systems
Sam Akinwande, Sydney Katz, Mykel Kochenderfer and Clark Barrett -
Toward Maturity-Based Certification of Embodied AI: Quantifying Trustworthiness Through Measurement Mechanisms
Michael Darling, Alan Hesu, Michael Mardikes, Brian McGuigan and Reed Milewicz -
BALI: Branch-Aware Loop Invariant Inference with Large Language Models
Mingxiu Wang, Jiawei Wang and Xiao Cheng -
A Unified Framework for Jailbreak Attacks on Large Language Models
Xiaobing Sun and Liangli Zhen
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Formal Safety Guarantees for Autonomous Vehicles using Barrier Certificates
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12:15 – 12:45 | Poster Session
(All accepted papers may optionally bring posters.) - 12:45 – 14:00 | Lunch Break
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14:00 – 14:45 | Panel Discussion
Moderator: Xi Zheng
Theme: Certification Challenges for AI-Enabled Autonomy: What Can Neurosymbolic Methods Enable?
Panellists:
- Guy Van Den Broeck (UCLA)
- Dinesh Manocha (UMCP)
- Taylor T. Johnson (Vanderbilt University)
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14:45 – 15:30 | Breakout Discussions
Participants split into three focused groups:- Scenario-Based Testing and LLM-Guided Specification Mining (led by Xi Zheng)
- Compositional Verification and Modular Reasoning for Embodied AI (led by Guy Van Den Broeck)
- Robustness Under Uncertainty, Sensing Noise, and Human–Robot Interaction (led by Archan Misra)
Each group produces 2–3 actionable recommendations for the roadmap.
- 15:30 – 16:00 | Coffee Break
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16:00 – 16:30 | Breakout Report-Back Session
Each group presents their key insights and open research questions. -
16:30 – 16:50 | Roadmap Consolidation Discussion
Collective shaping of a community roadmap for reliable embodied AI, covering:- Neurosymbolic architectures
- Testing and scenario generation
- Specification mining
- Verification and certification
- Robustness and uncertainty management
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16:50 – 17:00 | Closing Remarks
Plans for:
- Community follow-up
- Special issues / joint whitepaper
- Future AAAI Bridge events and co-located workshops