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Engineering  |  FURI

Implementation of Self Adjustable Treadmill

Can you walk on a treadmill as comfortably as you would over ground? While this seems challenging, the implementation of a self-paced mode in the instrumented treadmill enables the treadmill to adjust itself to the speed of the subject rather than the subject adjusting to a fixed speed thereby improving the comfort level. A study […]

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Are Existing Knowledge Transfer Techniques Effective to Train Deep Networks On Edge Devices?

With the emergence of the edge computing paradigm, many edge applications, such as image recognition and augmented reality requires performing machine learning and artificial intelligence workloads on edge devices. Most ML models are large and computationally heavy, whereas edge devices are usually equipped with limited power and energy. Unfortunately, small models cannot perform well. Recent […]

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Training Deep Neural Networks with Quantization and Structured Sparsity

Deep learning algorithms have shown tremendous success in applications ranging from self-driving cars to medical diagnosis. However, their usage on embedded platforms, such as mobile devices, has been limited due to high memory and computation requirements. The objective of this research is to compress neural network models in a hardware-friendly manner, while retaining their performance. […]

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Development of a Conductive Injectable Hydrogel for Cardiac Tissue Engineering.

Cardiac damage caused by myocardial infarction is irreversible due to the limited regenerative capability of cardiomyocytes. Thus, treatment is challenging. Injectable hydrogels that can accommodate cardiac cells and allow tissue formation could offer a promising strategy to repair damaged hearts. In this study, a conductive injectable hydrogel was created by incorporating gold nanowires (GNWs) into […]

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Point-of-Care Mutation Detection in Navajo Neurohepatopathy

Navajo neurohepatopathy (NNH) is a fatal genetic disorder often caused by 149G>A mutation in the MPV17 gene. NNH (affecting 1-in-1600 Navajo babies) is characterized by brain damage and liver disease/failure. Phoenix Children’s Hospital currently uses gene sequencing to identify the 149G>A mutation. While this process is conclusive, there are limitations, as it requires both time […]

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Haptic Vision Substitution

The Haptic Vision Substitution Project involves a device that will assist the blind in “feeling” their surroundings. The device that is under research and development consists of a palm-sized vibrating pin array that will emulate the user’s visual feedback. This technology relies on the user’s ability to associate vibrating frequencies with a specific light intensity. […]

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Chat-Box as Mood Analyzer for Individuals with Social Interaction Disabilities

More than 360 million people worldwide suffer from hearing impairments and autism. They also have a difficult time observing the social world and interpreting it. Similarly, the inherently ambiguous nature of sarcasm sometimes makes it even harder to connect with others from the spoken language. Recognition of sarcasm can benefit sentiment analysis in summarization, dialogue […]

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Design of Compact Lower Limb Exoskeleton for Gait Assistance

Robotic Exoskeletons assist patients with impaired mobility due to aging and spinal cord injuries, which is becoming increasingly more prevalent. However, the present exoskeletons are either bulky or do not provide necessary power. The design needs to be improved with state of the art mechatronics. In this project, a comprehensive study of design of exoskeletons […]

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Algorithms for Learning, Cooperation and Coordination of Multi Agent Systems in the Presence of Uncertainties

Humans and Robots (Intelligent agents) shall interact more in near future than they have ever before. Human-Robot Interaction (HRI) and Robot-Robot interaction (RRI) inevitably involves scenarios when one is unsure of the intention of the other. For successful cooperation, algorithms are needed that take in to account uncertainty in information known to each agent, and […]

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