Journal of Robotics最新文献_第3页

Retracted: Feature Extraction and Analysis Method of Trombone Timbre Based on CNN Model 基于CNN模型的长号音色特征提取与分析方法

IF 1.8

Journal of Robotics Pub Date : 2023-08-09 DOI: 10.1155/2023/9768081

Journal of Robotics

引用次数: 0

Retracted: Appearance Design Method of Ceramic Art Based on VR Visualization Technology 基于VR可视化技术的陶瓷艺术外观设计方法

IF 1.8

Journal of Robotics Pub Date : 2023-08-09 DOI: 10.1155/2023/9872574

Journal of Robotics

引用次数: 0

A Comprehensive Review: Interaction of Appearance and Behavior, Artificial Skin, and Humanoid Robot 外观与行为交互、人工皮肤与仿人机器人综述

IF 1.8

Journal of Robotics Pub Date : 2023-05-19 DOI: 10.1155/2023/5589845

Nguyen Minh Trieu, Nguyen Truong Thinh

{"title":"A Comprehensive Review: Interaction of Appearance and Behavior, Artificial Skin, and Humanoid Robot","authors":"Nguyen Minh Trieu, Nguyen Truong Thinh","doi":"10.1155/2023/5589845","DOIUrl":"https://doi.org/10.1155/2023/5589845","url":null,"abstract":"The development of robotics is undeniable in recent years. Many developing contries face the growth of the elderly population, it is the premise and impetus for the development of research on humanoid robots to serve humans. Many studies on various aspects of robotics are carried out in different parts of the world. Many novel methods were introduced for the design of the robot’s external appearance, internal mechanisms, and gestures. Recent research on humanoid robots is designed to appear to be copies of the anthropometric indicators of real people, which may affect the security of other people’s identities. Besides, these robots cause a feeling of horror in the user if their appearance is in the position of the uncanny valley. Therefore, these designs need to be carefully considered before fabrication. Artificial skin is studied for various purposes such as ensuring collision safety for industrial users and helping robots to perceive basic tactile sensations. This review consists of the recent literature on the interaction of appearance and behavior of robot interaction, artificial skin, and especially humanoid robots, including appearance, such as android and Geminoid robots. This work can provide a reference for humanoid robot research, including uncanny valley hypotheses, artificial skin, and humanoid robots.","PeriodicalId":51834,"journal":{"name":"Journal of Robotics","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47209424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-Time SLAM Mobile Robot and Navigation Based on Cloud-Based Implementation 基于云的实时SLAM移动机器人与导航实现

IF 1.8

Journal of Robotics Pub Date : 2023-01-01 DOI: 10.1155/2023/9967236

Jaafar Ahmed Abdulsaheb, D. Kadhim

引用次数: 0

A New Proposed Hybrid Learning Approach with Features for Extraction of Image Classification 一种基于特征的图像分类提取混合学习方法

IF 1.8

Journal of Robotics Pub Date : 2023-01-01 DOI: 10.1155/2023/9961421

Mohanad Azeez Joodi, M. Saleh, D. Kadhim

引用次数: 0

Mobile Robot Path Planning Based on Enhanced Dynamic Window Approach and Improved A ∗ Algorithm 基于增强动态窗口法和改进A *算法的移动机器人路径规划

IF 1.8

Journal of Robotics Pub Date : 2022-03-22 DOI: 10.1155/2022/2183229

Hong Yang, Xingqiang Teng

{"title":"Mobile Robot Path Planning Based on Enhanced Dynamic Window Approach and Improved A ∗ Algorithm","authors":"Hong Yang, Xingqiang Teng","doi":"10.1155/2022/2183229","DOIUrl":"https://doi.org/10.1155/2022/2183229","url":null,"abstract":"Path planning is one of the most popular researches on mobile robots, and it is the key technology to realize autonomous navigation of robots. Aiming at the problem that the mobile robot may collide or fail along the planned path in an environment with random obstacles, a robot path planning scheme that combines the improved A ∗ algorithm with an enhanced dynamic window method is proposed. In the improved A ∗ algorithm, in order to improve the algorithm efficiency, so that a single planning path can pass through multiple target points, the search point selection strategy and evaluation function are optimized. In order to achieve local obstacle avoidance and pursuit of dynamic target points in dynamic and complex environments, an online path planning method combining enhanced dynamic window algorithm and global path planning information is proposed. The preview deviation angle tracking method is used to successfully capture moving target points. It also improves the efficiency of path planning and ensures that on the basis of the global optimal path, the random obstacle can be avoided in real time so that the robot can reach the target point smoothly. The simulation results show that compared with other methods, the proposed method achieves excellent global and local path planning performance, the planned trajectory is smoother, and the search efficiency is higher in complex environments.","PeriodicalId":51834,"journal":{"name":"Journal of Robotics","volume":"2022 1","pages":"2183229:1-2183229:9"},"PeriodicalIF":1.8,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64772814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Research on Dynamic Path Planning of Wheeled Robot Based on Deep Reinforcement Learning on the Slope Ground 基于深度强化学习的轮式机器人斜坡路面动态路径规划研究

IF 1.8

Journal of Robotics Pub Date : 2020-02-01 DOI: 10.1155/2020/7167243

W. Peng, Xiaoqiang Li, Chunxiao Song, S. Zhai

{"title":"Research on Dynamic Path Planning of Wheeled Robot Based on Deep Reinforcement Learning on the Slope Ground","authors":"W. Peng, Xiaoqiang Li, Chunxiao Song, S. Zhai","doi":"10.1155/2020/7167243","DOIUrl":"https://doi.org/10.1155/2020/7167243","url":null,"abstract":"The existing dynamic path planning algorithm cannot properly solve the problem of the path planning of wheeled robot on the slope ground with dynamic moving obstacles. To solve the problem of slow convergence rate in the training phase of DDQN, the dynamic path planning algorithm based on Tree-Double Deep Q Network (TDDQN) is proposed. The algorithm discards detected incomplete and over-detected paths by optimizing the tree structure, and combines the DDQN method with the tree structure method. Firstly, DDQN algorithm is used to select the best action in the current state after performing fewer actions, so as to obtain the candidate path that meets the conditions. And then, according to the obtained state, the above process is repeatedly executed to form multiple paths of the tree structure. Finally, the non-maximum suppression method is used to select the best path from the plurality of eligible candidate paths. ROS simulation and experiment verify that the wheeled robot can reach the target effectively on the slope ground with moving obstacles. The results show that compared with DDQN algorithm, TDDQN has the advantages of fast convergence and low loss function.","PeriodicalId":51834,"journal":{"name":"Journal of Robotics","volume":"2020 1","pages":"1-10"},"PeriodicalIF":1.8,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2020/7167243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64752453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A Review on Compliant Joint Mechanisms for Lower Limb Exoskeletons 下肢外骨骼柔顺关节机制研究进展

IF 1.8

Journal of Robotics Pub Date : 2016-08-01 DOI: 10.1155/2016/5751391

G. MiguelA., lvez-Zúñiga, Alejandro Aceves-L, Pez

引用次数: 7

Study and experiment on a wheat precision seeding robot 小麦精密播种机器人的研究与试验

IF 1.8

Journal of Robotics Pub Date : 2015-01-01 DOI: 10.1155/2015/696301

Lin Haibo, S. Dong, Z. Liu, Chuijie Yi

引用次数: 13

Visual Odometry through Appearance- and Feature-Based Method with Omnidirectional Images 基于全向图像的基于外观和特征的视觉里程计

IF 1.8

Journal of Robotics Pub Date : 2012-09-06 DOI: 10.1155/2012/797063

David García, L. F. Rojo, A. G. Aparicio, L. P. Castelló, Ó. R. García

{"title":"Visual Odometry through Appearance- and Feature-Based Method with Omnidirectional Images","authors":"David García, L. F. Rojo, A. G. Aparicio, L. P. Castelló, Ó. R. García","doi":"10.1155/2012/797063","DOIUrl":"https://doi.org/10.1155/2012/797063","url":null,"abstract":"In the field of mobile autonomous robots, visual odometry entails the retrieval of a motion transformation between two consecutive poses of the robot by means of a camera sensor solely. A visual odometry provides an essential information for trajectory estimation in problems such as Localization and SLAM (Simultaneous Localization and Mapping). In this work we present a motion estimation based on a single omnidirectional camera. We exploited the maximized horizontal field of view provided by this camera, which allows us to encode large scene information into the same image. The estimation of the motion transformation between two poses is incrementally computed, since only the processing of two consecutive omnidirectional images is required. Particularly, we exploited the versatility of the information gathered by omnidirectional images to perform both an appearance-based and a feature-based method to obtain visual odometry results. We carried out a set of experiments in real indoor environments to test the validity and suitability of both methods. The data used in the experiments consists of a large sets of omnidirectional images captured along the robot's trajectory in three different real scenarios. Experimental results demonstrate the accuracy of the estimations and the capability of both methods to work in real-time.","PeriodicalId":51834,"journal":{"name":"Journal of Robotics","volume":"18 1","pages":"1-13"},"PeriodicalIF":1.8,"publicationDate":"2012-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2012/797063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64353715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27