Hugo Bildstein | Sensor-based Control | Best Researcher Award

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Dr. Hugo Bildstein | Sensor-based Control | Best Researcher Award

Dr. LAAS-CNRS, France

Hugo Bildstein is a PhD candidate and Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, affiliated with the RAP team at LAAS-CNRS. His academic background includes a Master’s degree in Robotics from Toulouse and a previous engineering degree in Mechatronics from ENS Rennes. Hugo’s research focuses on visual predictive control for mobile manipulators, with notable publications in leading journals and conferences, including Robotics and Autonomous Systems (RAS) and IEEE/ASME AIM. His work explores strategies for improving visibility, manipulability, and stability in robotic systems.

Professional Profiles:

scopus

Academic Background šŸŽ“:

Hugo Bildstein is currently a Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, working within the RAP team at LAAS-CNRS, Toulouse. His academic journey includes a PhD at the same university from 2020-2024, following a Masterā€™s degree in Robotics: Decision and Control (RODECO) at the University of Toulouse 3 – Paul Sabatier. Hugo also holds a Masterā€™s degree in Mechatronics from ENS Rennes and ranked 11th in the AgrĆ©gation in Industrial Engineering Sciences, Electrical Engineering option in 2019.

Research Activities and Ā šŸ“š:

Hugo’s research focuses on enhancing visual predictive control for mobile manipulators. His work includes:ā€œVisual Predictive Control for Mobile Manipulators: Visibility, Manipulability, and Stabilityā€ – to be published in Robotics and Autonomous Systems (RAS) in 2024.ā€œEnhanced Visual Predictive Control Scheme for Mobile Manipulatorsā€ – presented at the 2023 European Conference on Mobile Robots (ECMR) in Coimbra, Portugal.ā€œMulti-camera Visual Predictive Control Strategy for Mobile Manipulatorsā€ – showcased at the 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) in Seattle, USA.ā€œVisual Predictive Control Strategy for Mobile Manipulatorsā€ – discussed at the 2022 European Control Conference (ECC) in London, United Kingdom.

Research Analysis for Hugo Bildstein

Strengths for the Award:

  1. Innovative Contributions: Hugo Bildstein’s research focuses on cutting-edge topics in robotics, particularly visual predictive control for mobile manipulators. His work on enhancing control schemes through multi-camera strategies and visual feedback systems is highly relevant and forward-thinking in the field of robotics and autonomous systems.
  2. Diverse Research Outputs: Bildstein has published several papers in prestigious journals and conferences, demonstrating a consistent and impactful research output. His papers, such as those presented at the European Conference on Mobile Robots (ECMR) and the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), highlight significant contributions to the field.
  3. Academic Excellence: His strong academic background, including a PhD in Robotics and a Masterā€™s degree in Robotics and Control, coupled with high rankings in competitive exams like the AgrĆ©gation in Industrial Engineering Sciences, underscores his deep expertise and commitment to the field.
  4. Teaching and Research Experience: As a Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, Bildstein not only engages in advanced research but also contributes to academic teaching, showcasing his ability to bridge research and education effectively.

Areas for Improvement:

  1. Citation Impact: While Bildstein has several publications, some of his recent papers have yet to accumulate significant citations. Increasing the visibility and impact of his work through broader dissemination and collaboration could enhance his academic profile.
  2. Interdisciplinary Applications: Expanding research to explore interdisciplinary applications of his work could provide broader impact and open new avenues for practical implementation of his findings.
  3. Research Collaboration: Engaging in collaborative research with industry partners or other academic institutions could provide additional resources and perspectives, potentially leading to more comprehensive studies and real-world applications.

Conclusion:

Hugo Bildstein is a promising candidate for the Best Researcher Award due to his innovative contributions to the field of robotics, particularly in visual predictive control for mobile manipulators. His strong academic background, diverse research outputs, and active role in teaching and research highlight his potential and dedication. Addressing areas such as citation impact and interdisciplinary applications could further enhance his standing in the research community.

āœļøPublications Top Note :

1. Enhanced Visual Predictive Control Scheme for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

Citations: 0

2. Multi-camera Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

3. Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville
Citations: 2
Access: Open access

Prof. Manmatha Mahato | Soft robotics Award | Best Researcher Award

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Prof. Manmatha Mahato | Soft robotics Award | Best Researcher Award

Prof. Manmatha Mahato, Korea Advanced Institute of Science and Technology (KAIST), South Korea

Prof. Manmatha Mahato is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

scopusĀ 

Google scholar

šŸŽ“ Education Journey:

Dr. Manmatha Mahato, currently a Research Associate Professor at the Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea, stands as a beacon of innovation in the realm of materials mechanics. With a rich academic background and a plethora of research accomplishments, Dr. Mahato has carved a niche for himself in the field.Ph.D. in Materials Science from IIT Kharagpur, India (2017)MSc. in Chemistry from RTM Nagpur University, India (2009)BSc. in Chemistry Honors from The University of Burdwan, India (2007)

šŸ‘Øā€šŸ’¼ Professional Endeavors:

Research Associate Professor at KAIST (2023 – Present)Post-doctoral Researcher at KAIST (2019 – 2023)Product-Head at Aakar Innovations, Navi Mumbai, India (2017 – 2018)Project Assistant at National Metallurgical Laboratory, Jamshedpur, India (2009 – 2011)

šŸ† Awards and Honors:

NANO KOREA Young Scientist Award (2022)Multiple GATE (Graduate Aptitude Test in Engineering) achievements (2012, 2013, 2014)NET (National Eligibility Test) from CSIR-UGC, India (2012)

šŸ“š Research Contributions:

Total Publications: 45First Authorship: 19Citations: 913h-index: 16Notable Publications in Leading Journals:Science AdvancesNature CommunicationsAdvanced MaterialsAdvanced Energy MaterialsAdvanced Functional MaterialsAdvanced ScienceSmallNano EnergySmartMatEnergy and Environmental MaterialsAdvanced Materials TechnologiesAdvanced Materials InterfacesACS Applied Materials & Interfaces

šŸŒ Research Impact:

Featured in numerous international and national news outletsRecognized by the scientific community with cover images on leading journalsHighlighted in research blogs and patents

šŸŽ™ļø Recent Invited Talks:

SPIE Smart Structures + Nondestructive Evaluation, Long Beach, California, United States (March 26, 2024)Recent Trends in Applied Sciences: A Special Focus on Nanoscience and Nanomaterials (RTAS-2024), NEHU Shillong, India (March 23, 2024)Emerging Trends in Nanomaterials for Different Device Architectures, Indian Chemical Society (November 21, 2021)Mechanical Engineering Seminar, Department of Mechanical Engineering, Wonkwang University, Republic of Korea

šŸ” Research Highlights:

Dr. Mahato’s pioneering work on electronically conjugated polysulfonated covalent organic frameworks (pS-COF) has led to groundbreaking advancements in soft electrochemical actuators.His research on metal-free covalent triazine frameworks (CTF) has revolutionized the development of electro-ionic soft actuators with controllable high bending deformation.šŸŒŸ Dr. Manmatha Mahato’s journey is not only marked by academic excellence but also by a relentless pursuit of innovation, making him a true maverick in materials mechanics.

Since 2019:

  • Citations: 837
  • h-index: 16
  • i10-index: 22

Overall:

  • Citations: 953
  • h-index: 16
  • i10-index: 22

šŸ“– PublicationsĀ  Top Note :

Stimuliā€responsive MXeneā€based actuators

VH Nguyen, R Tabassian, S Oh, S Nam, M Mahato, P Thangasamy, …

Published in Advanced Functional Materials, Volume 30, Issue 47, 2020

Cited: 135 times

Skin-attachable and biofriendly chitosan-diatom triboelectric nanogenerator

JN Kim, J Lee, TW Go, A Rajabi-Abhari, M Mahato, JY Park, H Lee, IK Oh

Published in Nano Energy, Volume 75, 2020

Cited: 126 times

CTF-based soft touch actuator for playing electronic piano

M Mahato, R Tabassian, S Oh, S Nam, WJ Hwang, IK Oh

Published in Nature communications, Volume 11, Issue 1, 2020

Cited: 53 times

Sulfurā€and nitrogenā€rich porous Ļ€ā€conjugated COFs as stable electrode materials for electroā€ionic soft actuators

M Mahato, R Tabassian, VH Nguyen, S Oh, S Nam, KJ Kim, IK Oh

Published in Advanced Functional Materials, Volume 30, Issue 46, 2020

Cited: 41 times

Graphene mesh for selfā€sensing ionic soft actuator inspired from mechanoreceptors in human body

R Tabassian, VH Nguyen, S Umrao, M Mahato, J Kim, M Porfiri, IK Oh

Published in Advanced Science, Volume 6, Issue 23, 2019

Cited: 38 times

Electronically Conjugated Multifunctional Covalent Triazine Framework for Unprecedented CO2 Selectivity and Highā€Power Flexible Supercapacitor

M Mahato, S Nam, R Tabassian, S Oh, VH Nguyen, IK Oh

Published in Advanced Functional Materials, Volume 32, Issue 5, 2022

Cited: 31 times

Metal organic frameworkā€MXene nanoarchitecture for fast responsive and ultraā€stable electroā€ionic artificial muscles

M Garai, M Mahato, S Nam, E Kim, D Seo, Y Lee, VH Nguyen, S Oh, …

Published in Advanced Functional Materials, Volume 33, Issue 10, 2023

Cited: 24 times

A Dualā€Responsive Magnetoactive and Electroā€“Ionic Soft Actuator Derived from a Nickelā€Based Metalā€“Organic Framework

M Mahato, WJ Hwang, R Tabassian, S Oh, VH Nguyen, S Nam, JS Kim, …

Published in Advanced Materials, Volume 34, Issue 35, 2022

Cited: 20 times

Mr. Oveas Gholami | robotics | Best Researcher Award

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Mr. Oveas Gholami | robotics | Best Researcher Award

Mr. Oveas Gholami,Ā  University of Guilan, Iran

Mr. Oveas Gholami is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Google scholar

šŸ“ŠĀ Citation Metrics (Google Scholar):

Citations by: All ā€“ 19, Since 2018 ā€“ 19

h-index: All ā€“ 2, Since 2018 ā€“ 2

i10 index: All ā€“ 1, Since 2018 ā€“1

šŸ“– PublicationsĀ  Top Note :

Optimal control and path planning of a 3PRS robot using indirect variation algorithm

paper publication in

A New Optimal Method for Calculating the Null Space of a Robot using NOC Algorithm; Application on Parallel 3PRS Robot

paper publication in

Modeling and Control of a 3PRS Robot Using Lagrange Method

paper publication in

Conjoined twins 3RPRS: a novel parallel spatial robot

paper publication in

Design, Modeling, and Optimal Position Control of a New Wrist Rehabilitation Robot Using the Stewart Platform

paper publication in

Design, modeling and position control of a wrist rehabilitation robot based on Stewart platform

paper publication in

CLOSED LOOP NONLINEAR OPTIMAL CONTROL OF A 3PRS PARALLEL ROBOT

paper publication in

 

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