Who Are We?
Contactile is a Sydney-based start-up company established in early 2019. We are an innovator in tactile sensors for robots and are enabling smart dexterous robotic gripping. Our tactile sensor provides robotic gripping systems with the sensory advantages of the human hand without the physical limitations related to size, strength, environment and fatigue.
Our sensing technology was developed at UNSW Sydney with funding support from the Australian Research Council and US Office of Naval Research Global and ongoing funding from the Science Foundation Ireland through University College Dublin.
Contactile is a current participant of CSIRO’s ON Accelerator 5 program (2019).
Meet the Team
Business Development Lead
Heba Khamis is a lecturer at the University of New South Wales. She holds a PhD in Engineering, B (Software) Engineering and B Medical Science, from the University of Sydney. She has applied her expertise in biosignal processing, pattern recognition and machine learning in complex biomedical problems including epilepsy, cardiac and autonomic diseases, malnutrition and human tactile physiology. Since 2014, she has been developing tactile sensors for robotic gripping that are inspired by the human sense of touch.
Product Development Lead
Benjamin Xia is a Research Engineer at the University of New South Wales. He graduated with a master’s degree in electrical engineering from the University of New South Wales, and has expertise in signal processing, sensor design, rapid prototyping and robotics. He has been developing and testing tactile sensor prototypes in the laboratory since 2016, In his own time, he enjoys working on 3D printing, robotics and electronics projects.
Research and Innovation Lead
Stephen Redmond holds an Science Foundation Ireland Future Research Leader Award (2018-2023) at University College Dublin. He previously held an Australian Research Council Future Fellowship award (2014-2017) at the University New South Wales, Sydney, pioneering Contactile’s core tactile sensing technology. He has raised over $4m in funding to support his research work. He has Bachelors and PhD degrees in electronic engineering, with expertise in signal processing, sensor design and sensor informatics, including machine learning and pattern recognition.