Doina Pisla | Robotics | Best Researcher Award

Best Researcher Award

Doina Pisla
Technical University of Cluj-Napoca, Romania

Researcher Information
Affiliation Technical University of Cluj-Napoca
Country Romania
Scopus ID 14067935700
Documents 290
Citations 2,101
h-index 27
Subject Area Robotics
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-7014-9431

Doina Pisla is a Romanian robotics researcher affiliated with the Technical University of Cluj-Napoca. Her documented research encompasses parallel robotics, kinematics, mechatronics, biomedical engineering, surgical robotics, and rehabilitation systems. Her publication record includes work addressing robotic motion resolution, surgical robot calibration, and the systematic design of parallel rehabilitation robots. [1] [2] [3]

Abstract

Doina Pisla’s research profile reflects sustained work in robotics and mechatronics, particularly parallel robotic systems and their applications in medicine. Her documented publications address computational motion resolution, accuracy assessment and calibration of surgical robots, and systematic rehabilitation robot design. These topics connect theoretical robotics, computational modeling, engineering analysis, and biomedical applications. [1] [2] [3]

Keywords

  • Robotics
  • Parallel Robots
  • Robot Kinematics
  • Mechatronics
  • Surgical Robotics
  • Robot Calibration
  • Motion Resolution
  • Rehabilitation Robotics

3. Introduction

Robotics research increasingly combines mathematical modeling, computational analysis, precision engineering, and biomedical applications. Doina Pisla’s work addresses these areas through studies of parallel manipulators, surgical robotics, calibration, and rehabilitation systems. Her research illustrates how robotic mechanism analysis can support accuracy, controllability, and practical medical applications. [1] [2]

4. Research Profile

Doina Pisla’s research profile is centered on robotics and mechatronics, with particular emphasis on serial and parallel robot kinematics, dynamics, computational techniques, biomedical engineering, and robotic medical systems. Her published work demonstrates application-oriented research involving surgical platforms, rehabilitation mechanisms, motion analysis, modeling, simulation, and robot accuracy assessment. [1] [2] [3]

5. Research Contributions

Her documented contributions include computational approaches for evaluating robotic motion resolution, methods for assessing and calibrating the accuracy of surgical parallel robots, and systematic methodologies for designing rehabilitation robots. Collectively, these studies address important engineering requirements including precision, kinematic performance, calibration, workspace analysis, safety, and application-specific robotic system development. [1] [2] [3]

6. Publications

Selected publications associated with Doina Pisla cover motion resolution in robotic manipulators, AI-assisted accuracy assessment and calibration of the Athena surgical parallel robot, and systematic design of a parallel robotic system for lower-limb rehabilitation. The latter study was published in IEEE Access, volume 8, pages 34522–34537, with DOI 10.1109/ACCESS.2020.2974295. [1] [2] [3]

7. Research Impact

The research has relevance to robotics applications where precision, repeatability, kinematic understanding, and patient-oriented functionality are important. Work on surgical and rehabilitation robots connects computational mechanism analysis with medical technology, while studies of motion resolution and calibration address quantitative performance evaluation. These themes support the development of more accurately characterized robotic systems. [1] [2] [3]

8. Award Suitability

Doina Pisla’s documented publication activity provides a relevant basis for consideration for a Best Researcher Award in robotics and research data analysis. Her work combines computational methods, engineering design, robotic calibration, and biomedical applications. Formal award assessment should additionally consider independently verified publication records, citation indicators, research leadership, and broader scholarly contributions. [1] [2] [3]

9. Conclusion

Doina Pisla’s research demonstrates sustained engagement with robotics, parallel mechanisms, computational modeling, surgical systems, and rehabilitation technologies. The selected publications show a progression from fundamental robotic motion analysis toward accuracy assessment and application-oriented medical robotics. These contributions establish a coherent research profile suitable for scholarly recognition in robotics and engineering research. [1] [2] [3]

11. References

  1. On the computation of motion resolution for robotic manipulators.
    https://www.sciencedirect.com/science/article/pii/S0094114X26001965
  2. AI-Assisted Accuracy Assessment and Calibration of the Athena Surgical Parallel Robot
    https://link.springer.com/chapter/10.1007/978-3-032-30274-8_29
  3. Systematic Design of a Parallel Robotic System for Lower Limb Rehabilitation.https://www.researchgate.net/publication/339331474_Systematic_Design_of_a_Parallel_Robotic_System_for_Lower_Limb_Rehabilitation

Xiaolong Zhang | Intelliget Vehicle | Best Researcher Award

Assoc Prof Dr. Xiaolong Zhang | Intelliget Vehicle | Best Researcher Award

Fuzhou University | China

Author Profile

Scopus

πŸ‘¨β€πŸ« Summary

Dr. Xiaolong Zhang is an Associate Professor at the School of Mechanical Engineering and Automation, Fuzhou University, China. His expertise lies in artificial intelligence, robotics, and vehicle dynamics. He has authored over 20 academic papers and holds 26 patents, showcasing his strong contributions to intelligent systems and control technologies.

πŸŽ“ Education

He received his Ph.D. in Mechanical Engineering from Huazhong University of Science and Technology, Wuhan, in 2021, focusing on advanced control and robotic systems.

πŸ’Ό Professional Experience

Dr. Zhang has led and contributed to 8 research projects and 3 industry consultancy assignments. He is actively collaborating with Geely Auto on smart tire technologies, bridging the gap between academia and industry.

πŸ“ˆ Academic Citations & Publications

He has 20 publications in reputed SCI and Scopus-indexed journals, with a citation index of 12. He also holds one editorial appointment, reflecting his recognition in the academic community.

πŸ› οΈ Technical Skills

His core competencies include robot dynamic systems, motion planning, reinforcement learning, vehicle control algorithms, and AI-based autonomous navigation.

πŸ‘¨β€πŸ« Teaching Experience

Dr. Zhang teaches undergraduate and graduate courses in robotics, control theory, and intelligent vehicle systems, and supervises student research in related domains.

πŸ”¬ Research Interests

His main interests revolve around artificial intelligence, robotics, autonomous vehicles, and reinforcement learning, with a strong focus on real-time dynamic control and decision-making systems.

πŸš— Key Contributions

He proposed a novel continuous lane-changing decision and planning method using hierarchical reinforcement learning (HRL). The approach separates high-level decision-making and low-level motion planning, using a coupled training strategy to ensure smooth speed and steering control, improving the convergence and performance of HRL in autonomous driving.

🀝 Memberships & Affiliations

He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and the Chinese Mechanical Engineering Society (CMES).

πŸ“–Publications

A cascaded strategy-based hierarchical reinforcement learning algorithm for lane change decision-making
  • Year: 2025