Dr. Irfan Hussain an Assistant Professor in Robotics and Mechanical Engineering at Khalifa University, Abu Dhabi, UAE. He is Associate Editor of proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. Research Topic Editor on "Wearable Robots and Sensorimotor Interfaces: Augmentation, Rehabilitation, Assistance or substitution of human sensorimotor function" (ID 21096), frontiers in Neurorobotics. He is an Associate Editor of IEEE/ RAS ICRA-23, ICRA-22, ICRA-21, RAS/EMBS BioRob-18 and. He received his PhD degree in robotics from University of Siena, Italy. He was a post doctorate researcher at Robotics Institute at Khalifa University of Science and Technology, Abu Dhabi, UAE. He also worked as a post doctorate at Siena robotics and system lab (SIRSLab), Italy. He received his 2nd Level Master degree in Automatica and Control Technologies from Politecnico Di Torino, Italy. He got MS degree in Mechatronics Engineering from National University of Sciences and Technology, Pakistan. He received BE mechatronics engineering from Air University, Pakistan. He worked as research assistant in Gyeongsang National University, South Korea, from 2012 to 2013. He was intern engineer in Centro Ricerche Fiat (CRF), Italy. He worked as assistant manager engineering in Trojans Pakistan from 2008 to 2011. His research interests include embodied intelligence, exoskeletons, extra robotic limbs, soft robotic hands, wearable haptics, grasping and manipulation.
FSU-2021-019: Robotic Hands with Embodied Human like Compliance and Sensing for Soft Manipulation.
The complexity of grasping and manipulation is proven by many studies and involves a good merger of mechanical design, actuation, sensing and control. My work has contributed in providing disruptive innovation based on physically intelligence for the development of simple, compliant, yet strong, robust, and easy-to-program robotic hands. A Systematic approach of modeling and prototyping soft robotic hands with embodied intelligence inspired by human hands has been adopted starting from simulating human hand synergies, mathematical models for the manipulation optimization to realization of robotic hands with advance materials as illustrated in Fig. The main pillars of the research are human hand synergies based grasp analysis, development of the mathematical models for the grasping and manipulation optimization and using advance composites materials for the realization of the prototype, testing and validation. I have contributed internationally in the field of grasping algorithms and tactile sensing based on neuromorphic event-based cameras. Moreover, our team is working on developing end-to-end algorithms for grasping in a cluttered environment. I intend to apply the developed technology to open manipulation problems related to food, agriculture, medical and other industrial applications to handle irregularly shaped, flexible, and easily damageable goods.