2023年服务机器人国际会议（ICoSR 2023）

重要信息

会议网址：www.iwosr.org

会议时间：2023年07月21-23日

召开地点：中国·上海

截稿时间：2023年6月20日

录用通知：投稿后2周内

出版社：IEEE Computer Society's Conference Publishing Services (CPS)

收录检索：EI,Scopus

2023 KEYNOTE SPEAKERS

Invited Speaker Ⅰ

Dr. Bo Wu

IEEE member

AI Lab in RealMan company, China

Talk Title: An Ultralight Humanoid Robotic Arm is Opening the Door to Everyday Robots

Abstract:

Everyday robots are expected to have feet/AGV or four-legged robot-dog, eyes/cameras, ears/mic(s), a mouth/speaker and arms/robotic arms, which are assembled no larger than an adult. In particular, this requires humanoid robotic arms that are capable of manipulating most everyday objects. Besides, performing everyday manipulation tasks successfully requires ability of everyday robots to appropriately account for the physical behavior step of task completion. Meaning that everyday robots have to plan their manipulation sequences before start. This talk will introduce our most advanced humanoid robotic arm, RM75 series. To build an ultra-lightweight robotic arm, we delicately develop new core components including controller, driver, motor and harmonic reducer. They are compact but have even more strength. They weight 7.2kg or 16.5lbs with the controller inside its body, and are able to move up to 10.0kg or 22.1lbs. Moreover, our RM75/RM65 has a human-like arm which allows users to control it by human arms. To manipulate everyday objects by our RM75 using such as voice interaction, we propose a general-purpose-robot (GPR) system that can understand user’s voice interaction and react precisely to user’s intention. This drives our dedication to the destination of introducing reliable and affordable butler robots to our everyday life. We test our GPR system at a household scenario and shows inspiring performance than we ever expected.  

Biography: 

Dr. Bo Wu is the Head of the AI Lab in RealMan company, Beijing, China. Before that, he was a post-doctoral researcher at Toronto Metropolitan University, Toronto, Canada. During the same period, he worked at a scientific researcher position at the Human and Computer Interface (HCI) research center in Huawei, Markham, Canada. Dr. Bo Wu received his Ph.D. from Auburn University, USA in 2018. He is also an IEEE member and serves as a reviewer of multiple IEEE journals, including IEEE Transactions on Industrial Electronics and IEEE Transactions on Neural Networks and Learning Systems, etc. His research interests include robot vision and acoustics, artificial intelligence, AIoT, etc.

Invited Speaker Ⅱ

Dr. Xiaoli Bai

Associate Fellow of AIAA

Rutgers University, USA

Talk Title: Space Debris Propagation, Prediction, and Removal

Abstract:

The skies above us are becoming increasingly cluttered with space debris, threatening the safety of our satellites, astronauts, and future space missions. In this talk, we will explore the cutting-edge research being done to address this critical challenge and pave the way for a safer, more sustainable space environment. We will begin by introducing the Modified Chebyshev-Picard Iteration Methods, a set of parallel-structured methods for solving initial and boundary value problems. These methods have been recommended as a promising and parallelizable approach for orbit propagation by the National Research Council. We will then highlight our recent results in developing a physics-based learning approach to predict space objects' trajectories with higher accuracy and reliability than current methods, offering new collision avoidance and debris mitigation opportunities. Finally, we will present our research in autonomous, performance-driven, and online trajectory planning of space robotics for debris removal, which has the potential to revolutionize the field of space debris remediation. Our work represents a major step forward in addressing the challenges posed by the growth of space debris and ensuring the safety and sustainability of our activities in space.

Biography: 

Dr. Xiaoli Bai is a leading expert in the field of astrodynamics and space robotics, with a focus on spacecraft guidance, control, and navigation. As an Associate Professor in the Department of Mechanical and Aerospace Engineering at Rutgers, The State University of New Jersey, she actively researches and develops new technologies to advance our understanding of these critical areas of space exploration. Dr. Bai is a recipient of numerous awards and recognitions, including the 2019 NASA Early Career Faculty Award, the 2016 Air Force Office of Scientific Research Young Investigator Research Program award, the Outstanding Young Aerospace Engineer Award from Texas A&M University in 2018, and the A. Water Tyson Assistant Professor Award from Rutgers in 2018. She is also an Associate Fellow for the Class of 2021 in the American Institute of Aeronautics and Astronautics (AIAA) and a recipient of the prestigious Amelia Earhart Fellowship. Dr. Bai's work has contributed significantly to our understanding of the challenges and opportunities presented by space exploration, and her expertise is sought after by colleagues and collaborators around the world.

会议简介

★2023年服务机器人国际会议（ICoSR 2023）---Ei Compendex＆Scopus-Call for papers

｜2023年7月21-23日,中国·上海｜网址: www.iwosr.org

★ICoSR 2023将围绕“服务机器人”的研究领域而展开，为研究人员，工程师和学者，以及行业专业人士提供一个平台并介绍他们的研究成果以及今后开发的活动，为参会人员们交流新的思想和应用经验建立业务或研究关系，在会议期间您将有机会聆听到前沿的学术报告，见证该领域的成果与进步。

会议日程预览：

关于出版和索引

所有接受的论文将在线出版会议论文集IEEE Computer Society's Conference Publishing Services (CPS)，将被Ei Compendex，SCOPUS，Google Scholar，Cambridge Scientific Abstracts（CSA），Inspec， ISTP等检索，优秀论文将在国际期刊上发表。

征稿主题/会议征稿

服务机器人技术进展

智能汽车

自主导航

医疗和医疗机器人

自主和无人驾驶车辆

更多征稿主题请访问： http://www.iwosr.org/cfp.html

参会方式

1.作者参会：一篇会议录用文章允许一名作者参会；

2.主讲嘉宾：申请主题演讲，由会务组审核；

3.口头演讲：申请口头报告，时间为15分钟；

4.海报参会：申请海报参会，根据官网模板准备海报，再录制5分钟视频；

5.视频参会：录制个人视频15分钟即可；

6.听众参会：不投稿仅参会，可参与问答，也可演讲及展示。

投稿方式

1.会议邮箱：mail@iwosr.org

2.CMT在线投稿：https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FICoSR2023

请作者按照官网模板格式进行排版。排版好的论文全文（word+pdf版）发送至CMT在线系统或者会议邮箱。

提交摘要：即只参会做报告，不出版文章；

提交全文：即做参会做报告，并且出版文章；

听众：则不需要提交稿件，注册成功的听众可以参加会议的所有分会；

投稿要求：

1. 大会官方语言为英语，必须为全英文稿件，且应具有学术或实用价值，未在国内外学术期刊或会议发表过；

2. 保证文章原创性，未在国内外公开刊物或其它学术会议上发表过。

3. 文章篇幅一般在5-12页之间，不少于5页，含公式图表等，超过6页将收取超页费；

4. 作者可通过Turnitin或其他查询系统自费查重，重复率不得超过20%，由文章重复率引起的被拒稿将由作者自行承担责任；

5.文章录用：若您的文章被录用，我们将以邮件形式通知您，您将收到以下文件：录用通知、审稿意见表、中文注册表。

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