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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.
By Brad EdwardsarXiv 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.