Papers

99

Total Citations

1,181

H-Index

18

About

Burkhard Corves is a prominent robotics and mechanisms researcher whose work spans parallel robot kinematics, biped locomotion, collaborative robotics, and advanced manufacturing automation. His most influential contribution examines the kinematic performance of high-speed Delta parallel robots through motion/force transmission indices, accumulating 107 citations and establishing a rigorous framework for evaluating this important class of industrial robots. Complementing this, his comprehensive survey of Delta-like parallel robot architectures and comparative study of serial-parallel Delta configurations with full orientation capabilities have collectively shaped how researchers and engineers approach high-speed pick-and-place system design. Corves has also made significant strides in humanoid robotics, contributing widely-read reviews on zero-moment point-based biped control and walking pattern generation that have guided subsequent generations of locomotion researchers. His scope extends into Industry 4.0, with a 2023 literature review on collaborative robotics in the workplace attracting 52 citations shortly after publication—signaling his relevance to contemporary human-robot interaction challenges. Practical innovation features prominently too, from a multifunctional end-effector for textile preform manufacture to novel path-planning algorithms for wire-arc additive manufacturing. His development of MechDev, a dedicated planar mechanism design software, further underscores his commitment to translating theoretical advances into accessible engineering tools.

Research Focus

Key Achievements

18
H-Index
99
Papers
1,181
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Kinematic performance evaluation of high-speed Delta parallel robots based on motion/force transmission indices
107 citations · 2018
📈 Most Prolific Year: 2017 (9 Papers)
🤝 Key Collaborators: 142
🏛 Institutions: RWTH Aachen University, Polytechnic University of Timişoara, Institute of Automation

Top Papers

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Key Collaborators

Contact & Links

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