Valder Steffen

Universidade Federal de Uberlândia

Papers

9

Total Citations

340

H-Index

6

About

Valder Steffen is a Brazilian robotics and mechanical engineering researcher whose work has made significant contributions to the fields of robot motion planning, trajectory optimization, and dynamic systems analysis. Best known for his pioneering research on the optimal trajectory planning of robot manipulators, Steffen's early investigations—most notably his 1998 paper with 121 citations and a subsequent 2000 study with 98 citations—established foundational methods for navigating robots efficiently through complex, obstacle-laden environments while accounting for full system dynamics. His continued work refined these approaches, addressing constrained workspaces, moving obstacles, and task placement optimization to maximize manipulability and minimize power consumption, reflecting both economic and technical imperatives in high-performance robotics. In later years, Steffen expanded his research scope to incorporate uncertainty analysis, applying stochastic and fuzzy modeling techniques to evaluate the performance of both serial and parallel robotic systems under uncertain parameters. His involvement with Brazil's National Institute of Science and Technology of Smart Structures in Engineering (INCT-EIE) further highlights his engagement with adaptive and intelligent mechanical systems. With a body of work spanning over two decades and accumulating hundreds of citations, Steffen has established himself as a key figure in advancing rigorous, optimization-driven approaches to robotic systems engineering.

Research Focus

Key Achievements

6
H-Index
9
Papers
340
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
OPTIMIZATION OF THE TRAJECTORY PLANNING OF ROBOT MANIPULATORS TAKING INTO ACCOUNT THE DYNAMICS OF THE SYSTEM
121 citations · 1998
📈 Most Prolific Year: 1998 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universidade Federal de Uberlândia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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