Daniela Constantinescu
Papers
12
Total Citations
518
H-Index
8
About
Daniela Constantinescu is a robotics and control systems researcher whose work spans trajectory planning for industrial manipulators, teleoperation, and multi-agent network synchronization. She first gained significant recognition through her pioneering contributions to time-optimal and smooth path-constrained trajectory planning for robotic manipulators, a foundational 2000 paper that has accumulated over 380 citations and remains a key reference in the field. By incorporating actuator jerk limits to ensure smooth, efficient motion, her approach bridged theoretical optimality with practical industrial implementation — a contribution she refined and extended in subsequent work nearly a decade later. More recently, Constantinescu has advanced the frontiers of bilateral and multi-user teleoperation, addressing critical challenges such as time-varying communication delays, bounded actuation, and stability guarantees in remote multi-robot systems. Her research introduces innovative control strategies — including dynamic interconnection, damping injection, and hybrid damping-stiffness adjustment — that make teleoperation robust and passive even under unpredictable human and environmental dynamics. She has also contributed to consensus algorithms in multi-agent Euler–Lagrange and matrix-weight-balanced network systems. Her editorial contributions to robotics sensor technology further reflect her broad engagement with the research community. Overall, Constantinescu's work meaningfully advances safe, efficient, and scalable robotic autonomy and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 6Smooth time optimal trajectory planning for industrial manipulators13 citations · 2009
- 7Sensors for Robotics8 citations · 2013
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- 9Sensors for Robotics 20157 citations · 2015
- 10Average Consensus in Matrix-Weight-Balanced Digraphs5 citations · 2019