IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10002100

Yu-ting Huang, Chen-Huan Pi, Stone Cheng

{"title":"Omnidirectional Autonomous Aggressive Perching of Unmanned Aerial Vehicle using Reinforcement Learning Trajectory Generation and Control","authors":"Yu-ting Huang, Chen-Huan Pi, Stone Cheng","doi":"10.1109/SCISISIS55246.2022.10002100","DOIUrl":"https://doi.org/10.1109/SCISISIS55246.2022.10002100","url":null,"abstract":"Micro aerial vehicles are widely being researched and employed due to their relative low operation costs and high flexibility in various applications. We study the under-actuated quadrotor perching problem, designing a trajectory planner and controller which generates feasible trajectories and drives quadrotors to desired state in state space. This paper proposes a trajectory generating and tracking method for quadrotor perching that takes the advantages of reinforcement learning controller and traditional controller. We demonstrate the performance of the trained reinforcement learning controller generated trajectory information and manipulated quadrotor toward the perching point (manually throwing it up in the air with an initial velocity of 1 m/s). We show that this approach permits the control structure of trajectories and controllers enabling such aggressive maneuvers perching on vertical surfaces with relatively accurate. Computation time of evaluating the policy is only 0.03 sec per trajectory, which is two orders of magnitude less than common trajectory optimization algorithms with an approximated model.","PeriodicalId":21408,"journal":{"name":"Rice","volume":"4 1","pages":"1-6"},"PeriodicalIF":5.5,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80351093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Discussion of Classifying Open Systems Problem and Automated Action Plan Selection 开放系统问题分类与自动行动计划选择的讨论

IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10002126

Akio Shinohara, Takashi Izumi

引用次数: 0

Towards Question Answering with Multi-hop Reasoning over Knowledge using a Neural Network Model with External Memories 基于外部记忆的神经网络模型的知识多跳推理问答

IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10002000

Yuri Murayama, Ichiro Kobayashi

引用次数: 0

Airside terminal traffic flow problem formulation under extreme weather: A case study in the Hong Kong International Airport 极端天气下空侧航站楼交通流量问题的制定:以香港国际机场为例

IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10001871

Tsz Chun Yeung, Cho Yin Yiu, K. Ng, Ho Sum Chu, Pui Hang Jong

引用次数: 1

Effect of Humor on User Interest in a Recommendation Chatbot 幽默对推荐聊天机器人用户兴趣的影响

IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10002120

Tomoya Asakura, Asuka Terai

引用次数: 0

Human-robot interaction environment to enhance the sense of presence in remote sports watching 人机交互环境，增强远程体育观赛的临场感

IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10002053

Fuma Yamamoto, Emmanuel Ayedoun, Masataka Tokumaru

{"title":"Human-robot interaction environment to enhance the sense of presence in remote sports watching","authors":"Fuma Yamamoto, Emmanuel Ayedoun, Masataka Tokumaru","doi":"10.1109/SCISISIS55246.2022.10002053","DOIUrl":"https://doi.org/10.1109/SCISISIS55246.2022.10002053","url":null,"abstract":"The recent coronavirus disease 2019 (COVID-19) outbreak has helped increase the popularity of online video communication and meeting platforms as alternatives to face-to-face interactions. Such a trend has also triggered the emergence of remote cheering systems, hinting at the possibility that people could enjoy watching sports games in virtual environments even from their homes in the near future. However, reproducing a sense of presence similar to the atmosphere felt by fans in stadiums or event venues is a major challenge within virtual environments. Thus, our idea is to embed groups of cheerful robots in virtual environments, thereby creating a sense of unity and mimicking emotion spread among fans. In this study, we built a virtual cheering environment and embedded a game-event driven behavior model that enables a group of robots to display various emotions through nonverbal reactions according to the game flow. Then, we conducted a preliminary evaluation of the proposed system, where the participants and a group of robots were placed in a virtual cheering environment to watch a baseball game. The obtained results hinted at the meaningfulness of the proposed approach. Nevertheless, further work is necessary to achieve a sufficient sense of presence and validate the effectiveness of our proposed environment.","PeriodicalId":21408,"journal":{"name":"Rice","volume":"116 1","pages":"1-5"},"PeriodicalIF":5.5,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80673997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Image-Coded Time Series Classification with MLP-Mixer 基于MLP-Mixer的图像编码时间序列分类

IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10002056

Shin Beom Hur, Keon Myung Lee

引用次数: 0

How Can Machine Learning Models Be Used for Subjective Assessment of Safety and Comfort: Application on Free Lane Change Maneuver 机器学习模型如何用于安全性和舒适性的主观评估:在自由变道机动中的应用

IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10001888

Batuhan Durukal, Mert Eren, Ömer Çetin, Egemen Karabıyık, Namik Zengin, Sarp Kaya Yetkin

{"title":"How Can Machine Learning Models Be Used for Subjective Assessment of Safety and Comfort: Application on Free Lane Change Maneuver","authors":"Batuhan Durukal, Mert Eren, Ömer Çetin, Egemen Karabıyık, Namik Zengin, Sarp Kaya Yetkin","doi":"10.1109/SCISISIS55246.2022.10001888","DOIUrl":"https://doi.org/10.1109/SCISISIS55246.2022.10001888","url":null,"abstract":"Subjective evaluation plays a key role in autonomous driving feature validation for safety, comfort, and driving quality. As for being objective, it is also important to evaluate the autonomous features with key performance indicators (KPI) depending on physical parameters before stepping into the delivery phase. To provide better driving experience for autonomous features, calibration parameters need to be tuned carefully while considering safety and comfort. Calibration parameters can be evaluated in terms of safe, unsafe, comfortable, or uncomfortable states through questions that allow the evaluation of the passenger’s feelings during real-world testing which includes predefined scenarios and environments. In this paper, we proposed a method that performs the rating of the free lane change maneuver in terms of safety and comfort by employing the machine learning algorithms to model the passenger feedback according to the questionnaire for the subjective evaluation of the test maneuver execution. After trying several machine and deep learning regression techniques, we have shown that Extreme Gradient Boosting (XGB) regressor can be used to model drive feeling accurately for validation and calibration purposes. The constituted evaluation model can be utilized to improve quality of the autonomous driving, optimize calibration parameters and achieve user acceptance.","PeriodicalId":21408,"journal":{"name":"Rice","volume":"64 1","pages":"1-6"},"PeriodicalIF":5.5,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81454800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of COVID-19 asymptomatic individuals on effective regenerative math by multi-agent simulation based on the SEAIR model. 基于SEAIR模型的多智能体模拟新冠肺炎无症状个体对有效再生数学的影响

IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10001858

Maximiliano Wakugawa, Fumiaki Saitoh

引用次数: 0

Tool Diagnosis Method of CNC Machine based on Color Space Conversion and Deep Learning 基于颜色空间转换和深度学习的数控机床刀具诊断方法

IF 5.5 1区农林科学

Rice Pub Date : 2022-11-29 DOI: 10.1109/SCISISIS55246.2022.10002097

Eunkyeong Kim, Seunghwan Jung, Minseok Kim, Jin Yong Kim, Baekcheon Kim, Sungshin Kim

引用次数: 1

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