Dr. Hafiz is a roboticist with a keen focus on tactile sensing and the design of bio-inspired sensors for robotics. He completed his doctoral training at the University of New South Wales, Australia, under the prestigious Scientia PhD Scholarship Program with a distinction and Dean's Award for Best PhD thesis. Dr. Hafiz's research was conducted at leading laboratories in the field of tactile sensing and somatosensory research. During his postdoctoral training at the Neuroscience Research Australia in Sydney Australia, he broadened his research competence investigating mechanisms and function of the autonomic nervous system for friction perception and dynamic force regulation during grasping and manipulating objects in humans. His research primarily comprises range of studies focused on understanding the intricate functions of tactile receptors and sensorimotor control within the human hand. While delving into the fundamental aspects of sensory mechanisms, his overarching objective is to leverage this profound knowledge. His aim is to integrate artificial intelligence and bio-inspired sensors to propel advancements in achieving dexterity within robotic manipulators.
A few ÐÇ¿Õ´«Ã½ of my research:
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Title: Restoring Artificial touch Sensation in Supernumerary robotic Limbs
Supernumerary robotic limbs (SRLs) are capturing growing interest in neuroscience and robotics, offering innovative tools that could revolutionize daily activities. However, this exciting opportunity also brings new challenges in developing effective sensorimotor control strategies and enhancing human-machine interfaces (HMIs). Our primary goal is to restore the sense of touch in supernumerary robotic limbs by utilizing haptic feedback on non-paretic limbs, which inherently possess the ability to sense and manipulate. Manipulating objects with extra robotic limbs presents its own set of challenges, and we are focused on devising control strategies that leverage the subtle cues of incipient slips during object handling, enabling successful lifting and manipulation.
