Papers

72

Total Citations

1,518

H-Index

18

About

Anthony A. Maciejewski is a prominent robotics researcher whose career has been defined by foundational contributions to the kinematics of robotic manipulators, particularly in addressing singularity avoidance and fault-tolerant control. His early work on numerical filtering for robotic manipulators navigating kinematically singular configurations (238 citations) tackled one of the field's most persistent challenges — the loss of independent degrees of freedom at singular poses — while his influential treatment of Singular Value Decomposition in robotics (196 citations) demonstrated that this computationally powerful technique could be practically deployed in real-time systems. Maciejewski's most distinctive research thread concerns fault tolerance in redundant manipulators. Recognizing that robots operating in hazardous or remote environments face inevitable joint failures, he developed systematic strategies for anticipating free-swinging and locked-joint failures, work that accumulated over 200 citations across multiple studies and culminated in experimental teleoperation demonstrations. His analyses of kinetic limitations on redundancy and dexterity optimization under failure conditions further shaped how engineers design and evaluate resilient robotic systems. A broader curiosity is evident in his simulation study of crowd dynamics (38 citations), reflecting interdisciplinary reach. Taken together, Maciejewski's body of work has made redundant manipulator design substantially more rigorous and reliable.

Research Focus

Key Achievements

18
H-Index
72
Papers
1,518
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Numerical filtering for the operation of robotic manipulators through kinematically singular configurations
238 citations · 1988
📈 Most Prolific Year: 2002 (8 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: Purdue University West Lafayette, Colorado State University, The Ohio State University

Top Papers

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    Redundant Robots
    48 citations · 2016
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 35 days ago