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. Shao Hsien Chen | Smart machine | Best Researcher Award

Prof. Shao Hsien Chen, National Chin-Yi University of Technology, Taiwan

Prof. Shao Hsien Chen 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:

ORCID

Google scholar

Scopus

🎓 Academic Background:

B.S. degree from National Chin-Yi University of Technology, Taiwan, in 1992.M.S. and Ph.D. degrees from National Chung Cheng University, Taiwan, in 2001 and 2006, respectively.

👨‍🏫 Professional Experience:

R&D manager at Ching Hung Machinery & Electric Industrial Co. LTD and AWEA Machinery & Electric Industrial Co. LTD, Taiwan, from 2005 to 2009.Professor at National Chin-Yi University of Technology since 2009.

🔍 Research Focus:

Smart machines, machine tool design, and superalloy machining.

📊 Selected Research Highlights:

🔍 Utilized Neural Networks for cutting temperature prediction.🔄 Developed a Hybrid Optimization Algorithm for thermal displacement compensation.🛠️ Explored the application of Response Surface Methodology in rigid tapping.📈 Investigated the use of CNN-BP for Inconel-718 chip feature analysis.🔄 Applied Backpropagation Neural Model in automatic lubrication installation.🌐 Explored the integration of CNC Machine Tool with Plasma for online surface heat treatment.This comprehensive research portfolio showcases Dr. Shao-Hsien Chen’s expertise in advanced manufacturing technologies, optimization methodologies, and innovative applications in machine tool design. 🚀🔧

📊 Citation Metrics (Google Scholar):

Citations by: All – 215, Since 2018 – 158

h-index: All – 7, Since 2018 – 7

i10 index: All – 6, Since 2018 –6

Hugo Bildstein | Sensor-based Control | Best Researcher Award