Ken-Horn Li
Papers
1
Total Citations
11
H-Index
1
About
Ken-Horn Li’s research has focused on the intersection of robotics, control systems, and human-robot interaction, particularly in the development of training robots with force-sensing capabilities. His most-cited work, a 2012 paper proposing a novel NXT control method for implementing force sensing and recycling in a training robot, garnered 11 citations before being retracted. The retraction followed a 2013 investigation by the Journal of Vibration and Control and SAGE, which uncovered a peer review ring involving fabricated identities centered around Peter Chen at National Pingtung University of Education, Taiwan. This incident, while casting a shadow over Li’s publication record, highlights the critical importance of integrity in academic publishing. Despite this setback, Li’s broader contributions to robotics and control theory remain of interest to researchers exploring force feedback and adaptive control in training systems. His work underscores the challenges and responsibilities inherent in maintaining rigorous peer review standards, serving as a cautionary tale for the scientific community about the need for transparency and ethical vigilance in research dissemination.
Research Focus
Key Achievements
Top Papers
- 1