Lina Hao
Papers
53
Total Citations
848
H-Index
15
About
Lina Hao is a prominent robotics researcher whose work spans soft robotics, smart actuator design, and human-robot interaction. Her research has made significant contributions to the development of compliant robotic systems, particularly through innovative applications of shape-memory alloys (SMA) and pneumatic artificial muscles. Hao's most-cited work, "A novel design of shape-memory alloy-based soft robotic gripper with variable stiffness" (2020, 93 citations), exemplifies her focus on bridging the gap between rigid and soft robotics by enabling adaptive grasping of irregularly shaped or fragile objects. Her pioneering investigations into SMA-fishing-line actuators have introduced lightweight, low-cost artificial muscle solutions applicable to wearable and rehabilitation robotics. Hao has also advanced variable stiffness technologies through McKibben muscle systems and soft robot arms, addressing critical challenges in robust control and safe physical human-robot interaction. Her gesture-based teleoperation system further demonstrates her commitment to intuitive, compliant human-robot interfaces. With over 499 cumulative citations across her top works, Hao's research continues to shape the frontier of intelligent, adaptable robotic systems with meaningful real-world applications in assistive and industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 6Design and control of a novel variable stiffness soft arm36 citations · 2018
- 7Development of a SMA-Fishing-Line-McKibben Bending Actuator35 citations · 2018
- 8A Gesture-Based Teleoperation System for Compliant Robot Motion33 citations · 2019
- 9A novel adaptive force control method for IPMC manipulation30 citations · 2012
- 10Development of Mobile Robot SLAM Based on ROS29 citations · 2016