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
Multimodal soft robotic actuation and locomotion
Diverse and adaptable modes of complex motion observed at different scales in living
creatures are challenging to reproduce in robotic systems. Achieving dexterous movement …
creatures are challenging to reproduce in robotic systems. Achieving dexterous movement …
Learning-based legged locomotion: State of the art and future perspectives
S Ha, J Lee, M van de Panne, Z ** with high robustness and low drift
We present a data processing pipeline to online estimate ego‐motion and build a map of the
traversed environment, leveraging data from a 3D laser scanner, a camera, and an inertial …
traversed environment, leveraging data from a 3D laser scanner, a camera, and an inertial …
Learning robot soccer from egocentric vision with deep reinforcement learning
We apply multi-agent deep reinforcement learning (RL) to train end-to-end robot soccer
policies with fully onboard computation and sensing via egocentric RGB vision. This setting …
policies with fully onboard computation and sensing via egocentric RGB vision. This setting …
Learning suction graspability considering grasp quality and robot reachability for bin-picking
P Jiang, J Oaki, Y Ishihara, J Ooga, H Han… - Frontiers in …, 2022 - frontiersin.org
Deep learning has been widely used for inferring robust grasps. Although human-labeled
RGB-D datasets were initially used to learn grasp configurations, preparation of this kind of …
RGB-D datasets were initially used to learn grasp configurations, preparation of this kind of …