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The University of Sydney
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Achieving 70.8% recall of radar response regions, mmRadarTwin reveals critical insights into the challenges of indoor mmWave radar perception.
LLM-based unit tests can achieve reliable compilation and coverage improvements by explicitly managing project context rather than relying solely on prompt engineering.
TouchWorld achieves a 15.7% and 18.5% improvement in success rates for dexterous manipulation tasks, showcasing the power of integrating tactile feedback with predictive planning.
Current MLLM-driven UAV agents still struggle with spatial memory and aerial adaptation when tasked with autonomously exploring and reasoning about victim locations in realistic search and rescue scenarios.
