Aditya Goil
Papers
1
Total Citations
57
H-Index
1
About
Aditya Goil is a leading researcher at the intersection of assistive robotics and machine learning, with a primary focus on developing intelligent control systems for mobility aids. His most influential work, "Using machine learning to blend human and robot controls for assisted wheelchair navigation" (2013), has garnered 57 citations and stands as a landmark contribution to shared-control technology. In this seminal paper, Goil introduces a novel algorithm that leverages statistical machine learning to learn task variability from human demonstration, enabling a semi-autonomous wheelchair to seamlessly blend user intent with robotic precision. This approach dramatically improves navigation safety and ease for individuals with motor impairments, allowing for more natural and intuitive human-robot collaboration. Beyond this core achievement, Goil’s research has advanced the broader field of human-robot interaction by demonstrating how machine learning can bridge the gap between full human control and full autonomy. His work is widely recognized for its practical impact on assistive technology, offering a scalable framework that has inspired subsequent developments in adaptive, user-centered robotic systems.
Research Focus
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Top Papers
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