Titlebook: Cognitive Systems and Information Processing; 8th International Co Fuchun Sun,Qinghu Meng,Bin Fang Conference proceedings 2024 The Editor(s

迅速

書目名稱Cognitive Systems and Information Processing影響因子(影響力)




書目名稱Cognitive Systems and Information Processing影響因子(影響力)學(xué)科排名




書目名稱Cognitive Systems and Information Processing網(wǎng)絡(luò)公開度




書目名稱Cognitive Systems and Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cognitive Systems and Information Processing被引頻次




書目名稱Cognitive Systems and Information Processing被引頻次學(xué)科排名




書目名稱Cognitive Systems and Information Processing年度引用




書目名稱Cognitive Systems and Information Processing年度引用學(xué)科排名




書目名稱Cognitive Systems and Information Processing讀者反饋




書目名稱Cognitive Systems and Information Processing讀者反饋學(xué)科排名

Omniscient

Obstacle Avoidance Control Method for Robotic Assembly Process Based on Lagrange PPOonal reinforcement learning (RL) methods tend to pursue high rewards while ignoring behaviors that may lead to safety risks. To ensure the safety and efficiency of the industrial robot production process, we use the Lagrange Proximal Policy Optimization (L-PPO) algorithm to control the robotic arm.

節(jié)省

Zero-Shot Sim-To-Real Transfer of Robust and Generic Quadrotor Controller by Deep Reinforcement Learrld quadrotors without requiring any additional adaptation or fine-tuning. First, a training environment framework for a generic quadrotor based on the high-fidelity dynamics model is designed. The input for the training environment consists of angular velocity and thrust. Next, the policy network a

神刊

Robot Manipulation Strategy for Explosives Disposal in Cluttered Scenes. Due to the complexity and variability of application scenarios, such as the objects are stacked, it is a great challenge to accurately select target objects and manipulation mode in the fields of security and demolition. To address these problems, robotic arm systems require capabilities in target

Ascendancy

Adaptive Neural Composite Learning Finite-Time Control for?a?QUAV with?Guaranteed Tracking Performanilter backstepping control (CFBC) scheme, the computational complexity caused by repetitive derivation and the inverse effect of the filter error are effectively removed. Moreover, the neural networks (NNs) are employed to identify the nonlinear coupling terms in the controlled vehicle, and the pred

投射

投射

neutrophils

3D Path Planning and Tracking of Quadrotors Based on Improved Whale Optimization Algorithmgth, high time-consumption and path roughness, an improved whale optimization algorithm called SAMWOA is proposed in this paper. Firstly, Singer chaotic mapping strategy is introduced to enrich the diversity of whale population and improve the quality of initial solution of the algorithm. Secondly,

發(fā)生

Multimodal Pneumatic Control System for Soft Robotdal pneumatic control system is proposed to solve the problem of pneumatic control and condition detection for multi-chamber soft robot of different shapes. The pneumatic control unit of the system consists of hybrid valve which composed of proportional valve and solenoid valve. In the hybrid valve,

dissent