MEDER 2026

Author Instruction

Accepted full papers of registered participants will be published in the Scopus indexed book of the Springer Series Mechanisms and Machine Science, with the title: “Advances in Mechanism Design for Robots – MEDER 2026”.

The official language of the Symposium for publications and all oral presentations will be English.

Please use Springer's official paper template, in Latex or MS Word, available through the following links:

LaTex2e template

MS Word template

It will provide an example of a Springer chapter with minimal style requirements and instructions for Sections, Equations, Figures, Tables, and References.

The paper must be at least 6 pages and must not exceed 8 pages.  Color figures are welcomed.

Only papers with at least one author as a registered participant will be included in the proceedings. Authors of accepted papers must be registered before the early registration deadline.

Registration 

Early Registration (before April 15th, 2026): 

IFToMM Members 250 Euro 

Non IFToMM Members 300 Euro  

Regular Registration (after April 15th, 2026): 

IFToMM Members 300 Euro  

Non IFToMM Members 350 Euro 

Students 150 Euro 

Accompanying Persons 150 Euro 

Extra paper 100 Euro 

The registration fee includes the complete program of the MEDER 2026 symposium and one paper publication. 

Registration and payment procedure for non-Brazilian participants

Registration and payment procedure for non-Brazilian participants

Registration and payment procedure for Brazilian participants

https://sistemas.fau.org.br/participante/index.xhtml?idevento=1063 

Accommodation

Uberlandia provides accommodation in several hotels of different categories. Early reservation is recommended by directly contacting the Organising Committee Secretariat. A list of hotels will be soon on the site of the conference available.

General Chairs:

Rogério Sales Gonçalves (Brazil)

Marco Ceccarelli (Italy)

Organized by

Federal University of Uberlandia

Faculty of Mechanical Engineering

Scientific Committee

Marco Ceccarelli (Univ. of Rome Tor Vergata, Italy, Chair)

Ding Xilun (Beihang Univ., China)

Mario Acevedo (Univ. Panamericana, Mexico)

Shaoping Bai (Aalborg Univ., Denmark)

Yukio Takeda (Tokyo Inst Tech., Japan)

Alba Perez (Tech. Univ. Barcelona, Spain)

Yan Jin (Belfast Univ., UK)

Erwin-Chr. Lovasz (Poli. Univ. Timisoara, Romania)

Said Zeghloul (Poitiers Univ., France)

Chedli Bouzgarrou (SIGMA Clermont, France)

Victor Petuya (Univ. of Basque Country, Spain)

Alexey Fomin (IMASH RAN, Russia)

Kenji Hashimoto (Waseda University, Japan)

Gao Huang (Beijing Tech. Univ., China)

Matteo Russo (Univ. of Rome Tor Vergata, Italy)

Rogério Sales Gonçalves (UFU, Brazil)

Technical Sponsors

IFToMM

IFToMM Brazil

TC for Robotics and Mechatronics

TC Linkages and Mechanical Controls

TC for Computational Kinematics

Keynotes

Speaker: Marco Ceccarelli, Ph.D., Professor

LARM2: Laboratory of Robot Mechatronics 

Dept of Industrial Engineering; University of Rome Tor Vergata

Via del Politecnico 1, 00133 Roma, Italy

Title: Manipulator Workspace: past and current challenges

Abstract: The workspace of a robotic manipulator is one of the fundamental characteristics for characterizing the performance capabilities of robotic structures. Its determination and identification of its characteristic parameters have been a topic of attention and research since the early days of robotics, with purposes that are also linked to the possibility of designing appropriate algorithms for optimal solutions. The keynote lecture discusses the challenges in analyzing the workspace of manipulators, from the earliest procedures to the current issues still to be resolved, especially those that are related to parallel architecture structures. The potential for appropriate modeling and numerical algorithms is presented to further advance not only the characterization of robotic structures but, mainly, the definition of design algorithms for optimized solutions according to manipulator requirements and expectations in general and specific applications. The most current topic of interest focuses primarily on parallel architecture manipulators, for which an algorithm for defining the workspace in terms of a closed-form formulation that can also highlight the functionality of dimensional parameters, has not yet been developed. Examples are presented to clarify the most interesting and innovative aspects in examining the workspace of manipulators with both serial and parallel architectures.

Biography: Marco Ceccarelli (Rome, 26 May 1958) received his Ph.D. in Mechanical Engineering from La Sapienza University of Rome, Italy, in 1988. He is Professor of Mechanics of Machines at the University of Rome Tor Vergata, Italy, where he chairs LARM2: Laboratory of Robot Mechatronics. His research interests cover subjects of robot design, mechanism kinematics, experimental mechanics with special attention to parallel kinematics machines, service robotic devices, mechanism design, and history of machines and mechanisms whose expertise is documented by several published papers in the fields of Robotics and Mechanical Engineering. He has been visiting professor in several universities in the world. He is ASME fellow. Professor Ceccarelli serves in several Journal editorial boards and conference scientific committees. He is editor-in-chief of the MDPI journal Robotics and of the SAGE International Journal on Advanced Robotic Systems for the area on Service Robotics He is editor of the Springer book series on Mechanism and Machine Science (MMS) and History of MMS. He has been the President of IFToMM, the International Federation for the Promotion of MMS in 2008-11 and 2016-19. He has started several IFToMM sponsored conferences including (HMM) Symposium on History of Machines and Mechanisms, MEDER (Mechanism Design for Robotics) and MUSME (Multibody Systems and Mechatronics). More information at the web page: LARM2 webpage: https://larm2.ing.uniroma2.it/

Speaker: Juan Carlos A. Jáuregui Correa, Ph.D., Professor

Universidad Autónoma de Querétaro

Mexico

Title: Predicting Failures in Robotic Mechanisms through Artificial Intelligence

Abstract: The growing complexity of robotic systems demands reliable methods to ensure continuous operation. This keynote explores how Artificial Intelligence (AI) can predict mechanical failures in robot mechanisms by combining dynamic modeling, vibration data, and learning algorithms. Using physics-informed neural networks and experimental validation, Dr. Jáuregui demonstrates how degradation patterns can be detected early and how the remaining useful life of components can be estimated with high accuracy. The lecture presents practical applications where AI-based diagnostics outperform traditional approaches, emphasizing their potential to transform predictive maintenance and enhance the reliability of robotic systems in industrial environments.

Biography: Dr. Juan Carlos A. Jáuregui Correa is a Professor and Researcher at the Faculty of Engineering, Autonomous University of Querétaro, Mexico. His work focuses on vibration analysis, machine dynamics, and predictive maintenance supported by AI and computational modeling. He has led numerous academic and industrial projects, authored multiple scientific publications, and holds patents in dynamic testing and intelligent monitoring of rotating machinery. His research aims to bridge the gap between mechanical engineering and data-driven reliability in advanced mechatronic systems.

Speaker: Tarcisio A. Hess-Coelho, Ph.D., Professor

University of Sao Paulo (USP)

Brazil

Title: Modular modelling and control of parallel mechanisms

Abstract: During the last two decades, parallel robots have become more ubiquitous, employed in a great variety of sectors, from food to aerospace industries. In fact, they are much more efficient than their serial counterparts in terms of performing fast motions and consuming less energy. However, due to their mechanical complexity, they present a highly complex non-linear dynamics, which makes the modelling and control tasks difficult. A Modular Modeling Methodology (MMM) can be employed to formulate the dynamic equations for closed-loop redundant and non-redundant mechanisms of any topology that can operate in 2D- or even in 3D-spaces. Such methodology has been successfully applied to many multi-body systems, namely, parallel robots, exoskeletons and manipulators. With respect to the process for the model generation, the MMM allows the analyst to build the dynamic model from an approach in three tiers, namely, the tier of the links (bodies), the tier of the kinematic chains and the tier of the mechanism. Regarding the control of non-redundant parallel mechanisms, here two laws of hybrid control are shown, implemented in the joint and task spaces, in order to improve their dynamic behavior when performing fast motions. Additionally, for parallel mechanisms with actuation redundancy, an alternative motion control is presented, characterized by simplicity and effectiveness related to the implementation and accuracy, respectively. Regarding the motion planning, some indices are proposed in order to select the appropriate non-redundant actuation modes that can achieve comparable performances with respect to the redundant one. Experimental results evidenced a good correlation between those indices and the path tracking error.

Biography: TARCISIO A. HESS-COELHO received the Mechanical engineer (1987), the M.Sc. (1990) and the Ph.D. degrees in Mechanical Engineering (1997), all from the University of Sao Paulo, with postdoctoral studies at Stanford University (2001-2002), under the supervision of Bernard Roth. He is currently associate professor at the University of Sao Paulo. He has been Chair of Member Organization (MO) Brazil of the International Federation for the promotion of theory of mechanisms and machines (IFTomMM) since June 2018, in addition to being a member of the Robotics and Multibody dynamics technical committees of this federation. He is the author of two books, more than 70 articles, and one patent. He has experience in the field of Mechatronics Engineering, with an emphasis on Synthesis and Optimization Methods Applied to Mechanical Design, working mainly on the following topics: parallel mechanisms, robotics, bioengineering, automotive engineering and machine tools.

MEDER2026 Preliminary program