Papers

12

Total Citations

91

H-Index

6

About

Alejandro Donaire is a leading researcher in the control of robotic systems, with a primary focus on nonprehensile manipulation, underactuated robotics, and passivity-based control. His most significant contribution lies in advancing the theory and application of port-Hamiltonian systems and energy-shaping control, particularly for complex robotic tasks. Donaire’s work on the Robotic Dynamic Manipulation (RoDyMan) project, which has garnered 28 citations, has established foundational planning and control strategies for nonprehensile manipulation of deformable objects. He has also made pivotal contributions to the stabilization of nonholonomic robots (12 citations), introducing smooth time-invariant control laws that overcome traditional limitations. His development of a passive momentum observer for mechanical systems (10 citations) provides a robust framework for state estimation with guaranteed stability. Additionally, Donaire has addressed critical challenges in bipedal locomotion, marine craft control, and flexible robot impedance control, demonstrating the versatility of his energy-shaping methods. His work on regulation and integral control for underactuated systems (8 citations) and robust gait control for biped robots (6 citations) further underscores his impact. With over 80 total citations, Donaire’s research is essential reading for those interested in dynamic manipulation, nonlinear control, and the practical application of passivity-based techniques in robotics.

Research Focus

Key Achievements

6
H-Index
12
Papers
91
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Nonprehensile Manipulation of Deformable Objects: Achievements and Perspectives from the Robotic Dynamic Manipulation Project
28 citations · 2018
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Queensland University of Technology, University of Newcastle Australia, University of Naples Federico II

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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