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arXiv Robotics research summaries for February 13, 2024.
Today's Research Themes (AI-Generated):
• MetaTra introduces a meta-learning approach for trajectory prediction in unseen domains using a Dual Trajectory Transformer.
• Self-reconfigurable V-shape formation control algorithm proposed for UAVs to autonomously navigate through narrow, obstacle-laden spaces.
• MAVRL: A reinforcement learning-based pipeline for drones to adapt speed and enhance obstacle avoidance in cluttered environments.
• Conditional Neural Expert Processes (CNEP) developed for Learning from Demonstration (LfD) without requiring trajectory mode supervision.
• Grounding LLMs in robotics demonstrated to enhance task planning with closed-loop state feedback and hierarchical planning structure.
arXiv Robotics research summaries for February 13, 2024.
Today's Research Themes (AI-Generated):
• MetaTra introduces a meta-learning approach for trajectory prediction in unseen domains using a Dual Trajectory Transformer.
• Self-reconfigurable V-shape formation control algorithm proposed for UAVs to autonomously navigate through narrow, obstacle-laden spaces.
• MAVRL: A reinforcement learning-based pipeline for drones to adapt speed and enhance obstacle avoidance in cluttered environments.
• Conditional Neural Expert Processes (CNEP) developed for Learning from Demonstration (LfD) without requiring trajectory mode supervision.
• Grounding LLMs in robotics demonstrated to enhance task planning with closed-loop state feedback and hierarchical planning structure.