Papers

2

Total Citations

9

H-Index

2

About

Ana Elvira H. Martin is a leading researcher in physical human-robot interaction (pHRI), with a focus on enhancing safety and performance in industrial collaborative robotics. Her work centers on hierarchical control systems and variable stiffness actuation, developing methods that allow robots to safely share workspaces with humans without sacrificing task efficiency. Martin’s major contributions include the TACTO-Selector framework, which fuses vision-based control with reactive skin sensing to enable robust, real-time adaptation during physical contact—a critical advance for industrial settings. She has also pioneered task-oriented stiffness optimization for variable stiffness hands, addressing the challenge of selecting appropriate intrinsic compliance to balance force application and disturbance rejection. Though early in her career, her work has already garnered citations from peers working on safe robot control and compliant manipulation. Martin’s research bridges the gap between theoretical hierarchical task planning and practical, sensor-driven execution, making her a rising voice in the field of human-aware robotics. Her achievements underscore a commitment to developing robots that are not only powerful but also intrinsically safe and responsive to human presence.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
TACTO-Selector: Enhanced Hierarchical Fusion of PBVS with Reactive Skin Control for Physical Human-Robot Interaction
5 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Fraunhofer Institute for Cognitive Systems, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago