Hemjyoti Das

University of Twente, TU Wien

Papers

3

Total Citations

28

H-Index

2

About

Hemjyoti Das is a robotics researcher whose work focuses on the intersection of autonomous aerial manipulation and human-robot interaction. Her primary research areas include nonlinear model predictive control (NMPC), ergonomics-aware robotics, and hardware-in-the-loop simulation (HILS) for complex physical interaction tasks. Das’s most influential contribution is her development of an ergonomics-aware NMPC framework for autonomous human-robot handovers using aerial robots—a method that ensures safe, comfortable object delivery to human coworkers. This work, published in 2022, has garnered 14 citations and is notable for its generalizability across different robotic platforms. She has also advanced the field of HILS for vehicle-manipulator systems, enabling more realistic control evaluation without the full complexity of real-world testing. Her research is particularly relevant to applications in manufacturing, logistics, and space robotics, where safe physical interaction between humans and autonomous systems is critical. Through her work, Das is helping to bridge the gap between theoretical control algorithms and practical, human-aware robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
28
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Nonlinear Model Predictive Control for Human-Robot Handover with Application to the Aerial Case
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Twente, TU Wien

Top Papers

  1. 1
  2. 2
    12 citations
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago