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Optimization-Based Motion Planning Method for a Robot Manipulator Under the Conditions of Confined Siency. Therefore, extensive research is crucial to explore the use of robot manipulators for autonomous refueling. However, implementing robot arms encounters challenges such as confined workspace and the heavy weight of fueling tools. This paper proposes a motion planning method for a robot manipul接触 发表于 2025-3-26 03:42:41
Vision-Based Categorical Object Pose Estimation and Manipulation household and office scenarios. This paper proposes a novel approach for categorical unseen object grasping and manipulation. Different from recently popular end-to-end reinforcement learning methods, we develop models for geometric primitive abstraction of target objects, and accordingly estimateGraduated 发表于 2025-3-26 05:24:06
Animal-Like Eye Vision Assisted Locomotion of a Quadruped Based on Reinforcement Learningreal environment where the robot may encounter various complex terrains. It is a highly nonlinear system for the quadruped robot, so it is very hard to model the dynamics accurately and achieve high performance locomotion control. In recent years, with the emerging of reinforcement learning, there a权宜之计 发表于 2025-3-26 11:17:40
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Powerful Encoding and Decoding Computation of Reservoir Computingesentation capability. The reservoir exhibits nonlinear dynamics, and its internal dynamics have infinitely long correlations when the system settles at the edge of chaos, rendering the system to achieve excellent computational performance. However, the encoding and decoding performance of RC is sticontrast-medium 发表于 2025-3-26 20:22:53
Bidirectional Delay Estimation of Motor Control Systems at Different Muscle Contraction Levelsstudies have largely overlooked the delay in information transmission from the perspective of movement levels, limiting the understanding of physiological delays. This study aims to investigate the conduction delay between the brain and muscles, and uncover the underlying physiological mechanisms of