
Sign up to save your podcasts
Or
arXiv Robotics research summaries for March 16, 2024.
Today's Research Themes (AI-Generated):
• Unifying trajectory prediction and generation, T-CFM achieves up to 100x speed-up over diffusion models with enhanced accuracy in robotic tasks.
• H3-Mapping introduces quasi-heterogeneous feature grids for faster, high-quality real-time dense mapping in AR/VR and robotics.
• Deep reinforcement learning-based reactive planner for large-scale Lidar-based robot exploration improves efficiency and scales from small to large environments.
• MSI-NeRF links omnidirectional depth estimation and 6DoF view synthesis, advancing VR applications and robotic perception.
• GAgent combines VLM-based processing with a bionic soft gripper for sophisticated object recognition and handling in diverse lighting conditions.
arXiv Robotics research summaries for March 16, 2024.
Today's Research Themes (AI-Generated):
• Unifying trajectory prediction and generation, T-CFM achieves up to 100x speed-up over diffusion models with enhanced accuracy in robotic tasks.
• H3-Mapping introduces quasi-heterogeneous feature grids for faster, high-quality real-time dense mapping in AR/VR and robotics.
• Deep reinforcement learning-based reactive planner for large-scale Lidar-based robot exploration improves efficiency and scales from small to large environments.
• MSI-NeRF links omnidirectional depth estimation and 6DoF view synthesis, advancing VR applications and robotic perception.
• GAgent combines VLM-based processing with a bionic soft gripper for sophisticated object recognition and handling in diverse lighting conditions.