Ashwin Hingwe

The University of Texas at Austin

Papers

2

Total Citations

8

H-Index

2

About

Ashwin Hingwe is a rising force in soft robotics, specializing in the control and actuation of compliant systems for rehabilitation and assistive technologies. His research centers on two critical challenges: developing accurate yet computationally efficient models for soft robot control, and designing novel actuators that overcome the limitations of existing soft hardware. In his 2024 work, "A Novel Parameter Estimation Method for Pneumatic Soft Hand Control," Hingwe introduced a logarithmic decrement technique for pseudo-rigid body modeling, enabling more responsive and precise control of soft hand grasping—a problem long plagued by complex deformation dynamics. That paper has already garnered 4 citations, signaling its relevance to the field. Complementing this, his "Novel bio-inspired soft actuators for upper-limb exoskeletons" presents a design and feasibility study of actuators that achieve faster response times and a broader range of motion than conventional soft rehabilitation devices. With 4 citations, this work addresses a key bottleneck in translating soft robotics to clinical use. Hingwe’s contributions are notable for bridging theoretical modeling with practical hardware innovation, positioning him as a researcher to watch in the growing intersection of soft robotics and human-centered engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling
4 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago