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arXiv Robotics research summaries for January 21, 2024.
Today's Research Themes (AI-Generated):
• Pioneering bimanual robotic manipulation of deformable objects using a GNN-based latent dynamics model.
• Introducing flow-based affordance for scalable and universal robot learning across multiple object categories.
• Innovative dynamic UAV landing without onboard sensors, leveraging ground-based state estimation and control.
• BA-LINS showcases improved accuracy in LiDAR-Inertial navigation through frame-to-frame bundle adjustment.
• Large Language Models are harnessed to control EHD pumps for precise color synthesis from natural language commands.
arXiv Robotics research summaries for January 21, 2024.
Today's Research Themes (AI-Generated):
• Pioneering bimanual robotic manipulation of deformable objects using a GNN-based latent dynamics model.
• Introducing flow-based affordance for scalable and universal robot learning across multiple object categories.
• Innovative dynamic UAV landing without onboard sensors, leveraging ground-based state estimation and control.
• BA-LINS showcases improved accuracy in LiDAR-Inertial navigation through frame-to-frame bundle adjustment.
• Large Language Models are harnessed to control EHD pumps for precise color synthesis from natural language commands.