Papers

70

Total Citations

973

H-Index

17

About

Delbert Tesar is a pioneering robotics engineer whose career has been defined by a sustained commitment to advancing the mechanical intelligence, reliability, and architectural sophistication of robotic systems. Working primarily at the intersection of robot dynamics, actuator design, and fault-tolerant control, Tesar has made foundational contributions that continue to shape how engineers approach robotic manipulator systems. His 1985 work on optimal actuator sizing established principled, dynamics-based criteria for manipulator design, earning 72 citations and influencing a generation of robotics researchers. His investigations into fault-tolerant operation — exploring how robotic systems can recover from joint actuation failures in both serial and parallel mechanisms — reflect a forward-thinking concern for robustness in real-world deployment, with two related papers accumulating over 100 citations combined. Tesar also advanced the field's understanding of stiffness control in overconstrained systems, flexible manipulator accessibility, and force control stability. His collaborative vision extended beyond the laboratory: his network-based distributed robotics infrastructure, connecting multiple universities and NASA's Johnson Space Center, demonstrated a rare commitment to open, shared research environments. Across more than two decades of influential scholarship, Tesar has helped transform robotics from theoretical promise into reliable, architecturally sound engineering practice.

Research Focus

Key Achievements

17
H-Index
70
Papers
973
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Actuator Sizing for Robotic Manipulators Based on Local Dynamic Criteria
72 citations · 1985
📈 Most Prolific Year: 2002 (15 Papers)
🤝 Key Collaborators: 75
🏛 Institutions: University of Florida, The University of Texas at Austin, Robotics Research (United States), Hanyang University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 34 days ago