Amar Vamsi Krishna
Papers
1
Total Citations
5
H-Index
1
About
Amar Vamsi Krishna is a researcher at the intersection of rehabilitation robotics and human–machine interaction, with a primary focus on stroke rehabilitation and assistive technologies. His most-cited work, "Novel Interactive Visual Task for Robot-Assisted Gait Training for Stroke Rehabilitation" (2018), introduces a stand-alone interactive game integrated with the impedance-controlled modular ankle exoskeleton, known as the "Anklebot." This system provides support only as needed, aiming to enhance ankle neuro-motor control during gait training. With 5 citations, this contribution is notable for its innovative approach to blending engaging visual tasks with robotic assistance, offering a patient-centered method to improve motor recovery post-stroke. Krishna’s work exemplifies how interactive, task-oriented designs can make rehabilitation more effective and motivating. His research holds promise for advancing neurorehabilitation, particularly in developing adaptive, user-responsive robotic systems that address the specific motor deficits of stroke survivors.
Research Focus
Key Achievements
Top Papers
- 1