International Conference on Interactive Collaborative Robotics最新文献

Augmenting Character Designers Creativity Using Generative Adversarial Networks 利用生成对抗网络增强角色设计师的创造力

International Conference on Interactive Collaborative Robotics Pub Date : 2023-05-28 DOI: 10.48550/arXiv.2305.18387

M. Lataifeh, Xavier A. Carrasco, A. Elnagar, Naveed Ahmed

{"title":"Augmenting Character Designers Creativity Using Generative Adversarial Networks","authors":"M. Lataifeh, Xavier A. Carrasco, A. Elnagar, Naveed Ahmed","doi":"10.48550/arXiv.2305.18387","DOIUrl":"https://doi.org/10.48550/arXiv.2305.18387","url":null,"abstract":"Recent advances in Generative Adversarial Networks (GANs) continue to attract the attention of researchers in different fields due to the wide range of applications devised to take advantage of their key features. Most recent GANs are focused on realism, however, generating hyper-realistic output is not a priority for some domains, as in the case of this work. The generated outcomes are used here as cognitive components to augment character designers creativity while conceptualizing new characters for different multimedia projects. To select the best-suited GANs for such a creative context, we first present a comparison between different GAN architectures and their performance when trained from scratch on a new visual characters dataset using a single Graphics Processing Unit. We also explore alternative techniques, such as transfer learning and data augmentation, to overcome computational resource limitations, a challenge faced by many researchers in the domain. Additionally, mixed methods are used to evaluate the cognitive value of the generated visuals on character designers agency conceptualizing new characters. The results discussed proved highly effective for this context, as demonstrated by early adaptations to the characters design process. As an extension for this work, the presented approach will be further evaluated as a novel co-design process between humans and machines to investigate where and how the generated concepts are interacting with and influencing the design process outcome.","PeriodicalId":340752,"journal":{"name":"International Conference on Interactive Collaborative Robotics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125776797","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: 1

Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraints 运动约束下多智能体寻径的优先SIPP算法

International Conference on Interactive Collaborative Robotics Pub Date : 2021-08-11 DOI: 10.1007/978-3-030-87725-5_1

Zain Alabedeen Ali, K. Yakovlev

引用次数: 3

Modeling of Increased Rigidity of Industrial Manipulator 工业机械手增加刚度的建模

International Conference on Interactive Collaborative Robotics Pub Date : 2020-10-07 DOI: 10.1007/978-3-030-60337-3_17

E. Larkin, A. Bogomolov, M. Antonov

引用次数: 0

Data Exchange Method for Wireless UAV-Aided Communication in Sensor Systems and Robotic Devices 传感器系统和机器人设备中无线无人机辅助通信的数据交换方法

International Conference on Interactive Collaborative Robotics Pub Date : 2020-10-07 DOI: 10.1007/978-3-030-60337-3_5

A. Denisov, A. Shabanova, O. Sivchenko

引用次数: 3

Spatial Resolution-Independent CNN-Based Person Detection in Agricultural Image Data 基于空间分辨率无关的农业图像数据cnn人检测

International Conference on Interactive Collaborative Robotics Pub Date : 2020-10-07 DOI: 10.1007/978-3-030-60337-3_19

Alexander Leipnitz, T. Strutz, O. Jokisch

引用次数: 1

Accurate Autonomous UAV Landing Using Vision-Based Detection of ArUco-Marker 基于视觉检测aruco标记的无人机精确着陆

International Conference on Interactive Collaborative Robotics Pub Date : 2020-10-07 DOI: 10.1007/978-3-030-60337-3_18

I. Lebedev, A. Erashov, A. Shabanova

引用次数: 18

Fast Face Features Extraction Based on Deep Neural Networks for Mobile Robotic Platforms 基于深度神经网络的移动机器人平台快速人脸特征提取

International Conference on Interactive Collaborative Robotics Pub Date : 2020-10-07 DOI: 10.1007/978-3-030-60337-3_20

M. Letenkov, D. Levonevskiy

引用次数: 2

Indoor vs. Outdoor Scene Classification for Mobile Robots 移动机器人的室内与室外场景分类

International Conference on Interactive Collaborative Robotics Pub Date : 2020-10-07 DOI: 10.1007/978-3-030-60337-3_24

P. Neduchal, Ivan Gruber, M. Železný

引用次数: 2

Humanoid Robot Soccer Player for RoboCup Junior League Competitions 机器人世界杯青少年联赛人形机器人足球运动员

International Conference on Interactive Collaborative Robotics Pub Date : 2020-10-07 DOI: 10.1007/978-3-030-60337-3_28

Evgeny Shandarov, I. Shabalin, Irina Prokazina, V. Zhelonkin, E. Polyntsev, Alina Sogomonyants

引用次数: 0

Energy-Efficient Path Planning Algorithm on Three-Dimensional Large-Scale Terrain Maps for Mobile Robots 移动机器人三维大比例尺地形图的节能路径规划算法

International Conference on Interactive Collaborative Robotics Pub Date : 2020-10-07 DOI: 10.1007/978-3-030-60337-3_31

K. Zakharov, A. Saveliev, O. Sivchenko

引用次数: 13