Papers
1
Total Citations
19
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About
Tony Ng is a leading researcher at the intersection of motor control, neuroprosthetics, and sensory feedback. His work fundamentally explores how the brain integrates intrinsic somatosensory information—the natural sensations from our own bodies—to enhance the control and learning of artificial limbs. In his highly regarded 2022 study, "Intrinsic somatosensory feedback supports motor control and learning to operate artificial body parts," Ng challenges the prevailing focus on delivering unnatural sensory feedback to prosthetic users. Instead, he demonstrates that leveraging the body's own, inherent sensory signals can significantly improve the ability to operate remote or prosthetic devices. This insight has reshaped how researchers approach the design of brain-machine interfaces and assistive technologies. With his work already garnering 19 citations in a short time, Ng's contributions are rapidly gaining recognition for their practical implications in rehabilitation robotics. By reframing the role of natural sensation in motor learning, he is paving the way for more intuitive, effective prosthetics that work with the body rather than against it.
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