معرفی
Johannes Clar is a Doctoral Researcher and Research Associate at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) within the Cluster of Excellence IntCDC at the University of Stuttgart. His work focuses on advanced control methodologies for robotic systems, particularly in the realm of cable-driven parallel robots (CDPRs) and their applications across industrial and agricultural domains.
Research Interests:
- Adaptive control strategies for robotic systems
- Workspace optimization in reconfigurable CDPRs
- Unsupervised machine learning for agricultural vision tasks
- Stiffness adjustment and force distribution in robotic platforms
Research Trends: His publications highlight a dual focus on robotics (specifically CDPRs) and AI-driven solutions. The 2025 study on adaptive preload control demonstrates significant improvements in path repeatability through real-time optimization, while the 2024 work on reconfiguration techniques expands CDPR usability. His agricultural technology research introduces unsupervised learning to streamline data annotation challenges.
Labs & Teams: Affiliated with the Cluster of Excellence IntCDC, focusing on integrative computational design and construction, and the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) at the University of Stuttgart.
