11 citations · 11 across the 5 of their papers we have counts for
5 papers
Ontology-Grounded World Models for Failure Diagnosis and Closed-Loop Repair in Physical AI Systems
Kailin Wang, Haoxiang Jie, Yaoyuan Yan +2
EV-WM represents candidate quality with feature and event scores, but these scores do not explicitly record an unmet task predicate, a route label for an available correction mecha…
EV-WM: Event-Verified World Models for Long-Horizon Robotic Manipulation
Kailin Wang, Haoxiang Jie, Yaoyuan Yan +2
Pretrained-feature world models provide a useful substrate for robot imagination, but visual or latent prediction alone does not determine whether an imagined future satisfies task…
JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention
Brian Cheong, Jiachen Zhou, Steven Waslander
Tracking-by-detection (TBD) methods achieve state-of-the-art performance on 3D tracking benchmarks for autonomous driving. On the other hand, tracking-by-attention (TBA) methods ha…
MAexp: A Generic Platform for RL-based Multi-Agent Exploration
Shaohao Zhu, Jiacheng Zhou, Anjun Chen +3
The sim-to-real gap poses a significant challenge in RL-based multi-agent exploration due to scene quantization and action discretization. Existing platforms suffer from the ineffi…
aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System
Sean Wu, Nicole Amenta, Jiachen Zhou +2
Following four successful years in the SAE AutoDrive Challenge Series I, the University of Toronto is participating in the Series II competition to develop a Level 4 autonomous pas…