1 citations · 1 across the 6 of their papers we have counts for
6 papers
Drive the Thoughts: Runtime Monitoring of VLA Reasoning-Trajectory Consistency
Tian Yu, Lu Feng, Sebastian Elbaum
Autonomous vehicles (AVs) operate in complex environments where failures are consequential. Sophisticated machine learning models for perception and planning are key to overcoming…
SafeManip: A Property-Driven Benchmark for Temporal Safety Evaluation in Robotic Manipulation
Chengyue Huang, Khang Vo Huynh, Sebastian Elbaum +3
Robotic manipulation is typically evaluated by task success, but reaching the correct final state does not guarantee safe execution. A robot may succeed despite contamination, prem…
TRACE: Topology-aware Reconstruction of Accidents in CARLA for AV Evaluation
Nahian Salsabil, Sebastian Elbaum
Validating Autonomous Vehicles (AVs) requires exposure to rare, safety-critical scenarios, infrequent in routine driving data. Existing benchmarks address this by generating synthe…
LabelAny3D: Label Any Object 3D in the Wild
Jin Yao, Radowan Mahmud Redoy, Sebastian Elbaum +2
Detecting objects in 3D space from monocular input is crucial for applications ranging from robotics to scene understanding. Despite advanced performance in the indoor and autonomo…
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction
Shuyang Dong, Meiyi Ma, Josephine Lamp +3
There is a growing trend toward AI systems interacting with humans to revolutionize a range of application domains such as healthcare and transportation. However, unsafe human-mach…
Artifact: Measuring and Mitigating Gaps in Structural Testing
Soneya Binta Hossain, Matthew B. Dwyer, Sebastian Elbaum +1
The artifact used for evaluating the experimental results of Measuring and Mitigating Gaps in Structural Testing is publicly available on GitHub, Software Heritage and figshare, an…