Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Object detection using deep learning, CNNs and vision transformers: A review
Detecting objects remains one of computer vision and image understanding applications'
most fundamental and challenging aspects. Significant advances in object detection have …
most fundamental and challenging aspects. Significant advances in object detection have …
Deep learning approaches to grasp synthesis: A review
Gras** is the process of picking up an object by applying forces and torques at a set of
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
Rt-1: Robotics transformer for real-world control at scale
A Brohan, N Brown, J Carbajal, Y Chebotar… - ar** system is prompt, accurate, flexible, and continuous across …
Class-incremental learning by knowledge distillation with adaptive feature consolidation
We present a novel class incremental learning approach based on deep neural networks,
which continually learns new tasks with limited memory for storing examples in the previous …
which continually learns new tasks with limited memory for storing examples in the previous …
Contact-graspnet: Efficient 6-dof grasp generation in cluttered scenes
Gras** unseen objects in unconstrained, cluttered environments is an essential skill for
autonomous robotic manipulation. Despite recent progress in full 6-DoF grasp learning …
autonomous robotic manipulation. Despite recent progress in full 6-DoF grasp learning …
Smart industrial robot control trends, challenges and opportunities within manufacturing
Industrial robots and associated control methods are continuously develo**. With the
recent progress in the field of artificial intelligence, new perspectives in industrial robot …
recent progress in the field of artificial intelligence, new perspectives in industrial robot …
Baku: An efficient transformer for multi-task policy learning
Training generalist agents capable of solving diverse tasks is challenging, often requiring
large datasets of expert demonstrations. This is particularly problematic in robotics, where …
large datasets of expert demonstrations. This is particularly problematic in robotics, where …