Andy Zelenak

The University of Texas at Austin

Papers

2

Total Citations

15

H-Index

2

About

Andy Zelenak is a roboticist whose work focuses on enabling safer, more reactive motion for industrial manipulators in unstructured environments. His research centers on control strategies that allow stiff robots to operate safely alongside humans, with key contributions in velocity control and collision detection. In his influential 2015 paper, "The Advantages of Velocity Control for Reactive Robot Motion" (8 citations), Zelenak argues compellingly that velocity control is the superior choice for reactive trajectory modification at the hardware level—a critical insight often overlooked by roboticists. His 2014 work, "An Extended Kalman Filter for Collision Detection During Manipulator Contact Tasks" (7 citations), integrates software compliance with advanced filtering to detect collisions during contact tasks, directly addressing the challenge of safety in uncertain conditions. While his citation counts reflect a focused, emerging impact, Zelenak’s contributions are notable for their practical, hardware-level approach to robot safety, bridging theory and application. His work is essential reading for researchers developing reactive control systems for industrial robotics, offering clear, actionable guidance for designing robots that can adapt and respond in real-time.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
The Advantages of Velocity Control for Reactive Robot Motion
8 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago