[2601.07855] RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution
Abstract page for arXiv paper 2601.07855: RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution
Physical AI, robots, and autonomous systems
Abstract page for arXiv paper 2601.07855: RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution
Abstract page for arXiv paper 2502.00262: INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Ha...
Abstract page for arXiv paper 2508.00500: ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety
Abstract page for arXiv paper 2602.23722: SLA-Aware Distributed LLM Inference Across Device-RAN-Cloud
Abstract page for arXiv paper 2602.23729: From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating...
Abstract page for arXiv paper 2602.23694: Interpretable Multimodal Gesture Recognition for Drone and Mobile Robot Teleoperation via Log-L...
Abstract page for arXiv paper 2602.23575: CycleBEV: Regularizing View Transformation Networks via View Cycle Consistency for Bird's-Eye-V...
Abstract page for arXiv paper 2602.23499: TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving
Abstract page for arXiv paper 2602.23387: Hello-Chat: Towards Realistic Social Audio Interactions
Abstract page for arXiv paper 2602.23720: The Auton Agentic AI Framework
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