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arXiv Robotics research summaries for January 23, 2024.
Today's Research Themes (AI-Generated):
• Introducing DexTouch, a robot system mimicking human tactile capabilities for object search and manipulation sans vision.
• A novel Interactive Bayesian Optimization (IBO) framework integrates human expertise with machine learning for enhanced collaborative tasks.
• Improved DVL calibration performance for AUVs achieved through a new deep-learning framework, outstripping traditional model-based methods.
• Presenting a learning-based trajectory prediction algorithm for communication-efficient UAV swarm coordination in complex environments.
• A comprehensive survey on data-centric evolution in autonomous driving highlights big data, closed-loop technologies, and future development directions.
arXiv Robotics research summaries for January 23, 2024.
Today's Research Themes (AI-Generated):
• Introducing DexTouch, a robot system mimicking human tactile capabilities for object search and manipulation sans vision.
• A novel Interactive Bayesian Optimization (IBO) framework integrates human expertise with machine learning for enhanced collaborative tasks.
• Improved DVL calibration performance for AUVs achieved through a new deep-learning framework, outstripping traditional model-based methods.
• Presenting a learning-based trajectory prediction algorithm for communication-efficient UAV swarm coordination in complex environments.
• A comprehensive survey on data-centric evolution in autonomous driving highlights big data, closed-loop technologies, and future development directions.