Huiting Ma
Papers
2
Total Citations
9
H-Index
2
About
Huiting Ma is a rising researcher in rehabilitation robotics and human–machine interaction, with a focus on developing intelligent systems for motor recovery. Her work centers on two key challenges: achieving human–robot kinematic compatibility and enabling robust motion estimation across untrained movements. In her highly cited 2023 study, Ma proposed a human–machine compatible ankle rehabilitation robot (HMCARR) that aligns the human ankle’s center of rotation with the robot’s, addressing a critical design flaw in existing devices. This innovation, already garnering 7 citations, promises safer and more effective therapy for stroke patients. More recently, in 2024, Ma introduced a novel muscle synergy approach for continuous motion estimation using surface EMG, demonstrating that prediction accuracy can be maintained even when users perform motions not included in training data. This breakthrough, with 2 early citations, tackles a fundamental limitation in adaptive human–robot systems. Ma’s contributions bridge biomechanics and machine learning, offering practical solutions for next-generation rehabilitation technologies. Her work is particularly notable for its direct clinical relevance and potential to personalize therapy, marking her as a promising voice in the field of assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2