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 🎓:

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 Master’s degree in Robotics: Decision and Control (RODECO) at the University of Toulouse 3 – Paul Sabatier. Hugo also holds a Master’s degree in Mechatronics from ENS Rennes and ranked 11th in the Agrégation in Industrial Engineering Sciences, Electrical Engineering option in 2019.

Research Activities and 📚:

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

Research Analysis for Hugo Bildstein

Strengths for the Award:

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.
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.
Academic Excellence: His strong academic background, including a PhD in Robotics and a Master’s degree in Robotics and Control, coupled with high rankings in competitive exams like the Agrégation in Industrial Engineering Sciences, underscores his deep expertise and commitment to the field.
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:

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.
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.
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.

✍️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 Philip F. Yuan | Robotic Fabrication | Best Researcher Award

Prof Philip F. Yuan , CAUP, Tongji University, China

Prof Philip F. Yuan 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:

Scopus

Yuan, Philip F.

Info:

Tongji University, Shanghai, China
56057067100

📖 Publications Top Note :

Agent-Based Principal Strips Modeling for Freeform Surfaces in Architecture
Chai, H., Orozco, L., Kannenberg, F., Menges, A., Yuan, P.F.
Nexus Network Journal, 2024, 26(2), pp. 369–396
Explores innovative modeling techniques in architecture utilizing agent-based methods.

Bioinspired Sensors and Applications in Intelligent Robots: A Review
Zhou, Y., Yan, Z., Yang, Y., Yuan, P.F., He, B.
Robotic Intelligence and Automation, 2024, 44(2), pp. 215–228
A comprehensive review of bioinspired sensor technologies and their applications in robotics.

FloatArch: A Cable-Supported, Unreinforced, and Re-Assemblable 3D-Printed Concrete Structure Designed Using Multi-Material Topology Optimization
Li, Y., Wu, H., Xie, X., Yuan, P.F., Xie, Y.M.
Additive Manufacturing, 2024, 81, 104012
Presents a pioneering design in 3D-printed concrete structures optimized for reusability and sustainability.

Structural Performance-Based 3D Concrete Printing for an Efficient Concrete Beam
Wu, H., Li, Y., Xie, X., Gao, X., Yuan, P.F.
Sustainable Development Goals Series, 2024, Part F2790, pp. 343–354
Discusses advancements in 3D printing for creating efficient concrete beams.

Research on 3D Printing Craft for Flexible Mass Customization: The Case of Chengdu Agricultural Expo Center
Gao, T., Gu, S., Zhang, L., Yuan, P.F.
Sustainable Development Goals Series, 2024, Part F2790, pp. 465–480
Examines flexible customization in 3D printing through a case study of an agricultural expo center.

Preface
Yan, C., Chai, H., Sun, T., Yuan, P.F.
Computational Design and Robotic Fabrication, 2024, Part F2072
Introduction to the latest volume focusing on computational design and robotic fabrication.

The Use of Normative Energy Calculation for Natural Ventilation Performance-Driven Urban Block Morphology Generation
Li, W., Xu, X., Makvandi, M., Sun, Z., Yuan, P.F.
Computational Design and Robotic Fabrication, 2024, Part F2072, pp. 315–328
Investigates energy-efficient urban design through computational methods.

A Parametric Approach Towards Carbon Net Zero in Agricultural Planning
Yueyang, W., Yuan, P.F.
Computational Design and Robotic Fabrication, 2024, Part F2072, pp. 305–314
Focuses on achieving carbon neutrality in agricultural planning using parametric design techniques.

ISOMORPHISM: Stylized Translations of 2D Prototype in Additive Clay Printing
Gong, L., Yuan, P.F.
Computational Design and Robotic Fabrication, 2024, Part F2072, pp. 515–525
Explores the translation of 2D designs into 3D printed clay structures.

Practical Application of Multi-Material Topology Optimization to Performance-Based Architectural Design of an Iconic Building
Li, Y., Ding, J., Zhang, Z., Yuan, P.F., Xie, Y.M.
Composite Structures, 2023, 325, 117603
Applies multi-material optimization in creating high-performance architectural designs.

Hugo Bildstein | Sensor-based Control | Best Researcher Award