Kyle T. Yoshida

Stanford University, Washington State University

Papers

5

Total Citations

43

H-Index

5

About

Kyle T. Yoshida is a pioneering researcher in soft robotics, with a focus on developing safe, adaptable, and controllable soft continuum manipulators for real-world applications. His work centers on the design, modeling, and control of underactuated soft robots, addressing the fundamental challenge of achieving precise motion despite their near-infinite degrees of freedom. Yoshida’s major contributions include the introduction of Active Fiber Reinforced Elastomeric Enclosures (AFREEs), which enable soft manipulators to absorb and distribute contact forces, making them ideal for human-robot interaction and search and rescue. He also developed a continuous curvature-based model for soft growing manipulators, experimentally validated to improve control accuracy. Beyond manipulation, Yoshida has advanced haptic feedback systems, designing a 3-DoF wearable device that delivers directional shear cues on the forearm, and applied deep learning to classify touch gestures using distributed normal and shear force data. His work on a lightweight soft apple harvesting gripper demonstrates his commitment to practical, cost-effective agricultural robotics. With over 43 citations across his top papers, Yoshida’s research is shaping the future of soft robotics, bridging the gap between theoretical modeling and deployable, interactive systems.

Research Focus

Key Achievements

5
H-Index
5
Papers
43
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
AFREEs: Active Fiber Reinforced Elastomeric Enclosures
13 citations · 2020
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Stanford University, Washington State University

Top Papers

  1. 1
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  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago