The conference will be held from September 7 to 9, 2027 in Shijiazhuang, China, focusing on the latest research in the field of Embodied Intelligence Technologies for Flexible Manufacturing. Centered on three core themes, namely: Industrial Vision-- Multimodal Perception and Real-Time Modeling in Complex Dynamic Environments,Industrial Manipulation--Flexible Adaptive Precision Control for Complex Manufacturing Processes, and Industrial Brain--Intelligent Optimization and Decision-Making for Process Planning and Production Line Scheduling. It aims to provide a high-end academic exchange platform for researchers and scholars to present and exchange research achievements. The conference will feature various formats including keynote speeches, oral presentations, and poster sessions, delivering cutting-edge technological advances and outcomes, and promoting technical exchange and intellectual collaboration. We sincerely welcome experts, scholars from universities and research institutions, industry professionals, and other interested parties from both domestic and international communities to actively participate and exchange ideas.
All papers related to the theme of Embodied Intelligence Technology for Flexible Manufacturing can be submitted, including but not limited to the following topics:
Fusion of Multi-source Heterogeneous Sensing Data
Semantic Understanding of Unstructured Scenes
Real-Time 6D Pose Estimation and Tracking of Workpieces
Online Modeling of Dynamic Manufacturing Processes
Visual Inspection and Evaluation of Manufacturing Quality
Compliant Manipulation and Precision Force Control Strategy
Tight Coordination of Multi-arm Operations
Multi-machine Task Flow Collaboration
Adaptive Adjustment of Process Parameters for Contact-based Operations
Generalized Design of End-effector
Autonomous Decomposition and Planning of Complex Tasks
Intelligent Generation and Optimization of Process Sequences
Dynamic Scheduling and Real-time Rescheduling of Production Lines
Distributed Scheduling and Cooperation of Manufacturing Systems
Task Allocation and Coordination in Human-Robot Collaboration
Important Dates
Last date for paper submission: March 8th, 2027
Last date for paper acceptance: June 4th, 2027
Final Paper Submission Deadline: July 24th, 2027
Publication
All accepted and registered papers will be published in International Conference Proceedings, which will be sent to EI Compendex and Scopus for indexing.
Submission Guidelines
All submissions should be in English and range from 4 to 8 pages, including figures and references, and should be formatted according to the template, which will be sent to you upon acceptance.
Please submit your paper via email to xueshu@eept.org.cn .
Authors should complete their submissions before the designated deadlines. Late submissions will not be considered. The initial and final submissions must be in an editable format. Hardcopy is not accepted.
The latest information can be found on the conference website.
Review Instruction
EITFM 2027 follows the highest standards of publication ethics and takes all possible procedures against any publication misconduct. This Conference does not accept any type of plagiarism, which means that any author replicating a significant part of another's work without acknowledging him/her or passing another's work off as his/her own is not tolerated and not published.
All authors submitting their works to EITFM 2027 for publication as original works confirm that the submitted papers are their own contributions and have not been copied in whole or in part from other works.
Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of each accepted submission. The EITFM 2027 guarantees that the entire peer review and publication process is meticulous and objective. Furthermore, all works not in accordance with these standards will be removed from the publication if malpractice is revealed at any time even after the publication. Every case of suspected plagiarism or duplicate publishing will be reported.