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The physically impaired commonly have difficulties performing simple routinetasks without relying on other individuals who are not always readily availableand thus make them strive for independence. While their impaired abilities canin many cases be augmented (to certain degrees) with the use of assistivetechnologies, there has been little attention to their applications in embodiedAI with assistive technologies. This paper presents the modular framework,architecture, and design of the mid-fidelity prototype of MARVIN: anartificial-intelligence-powered robotic assistant designed to help thephysically impaired in performing simple day-to-day tasks. The prototypefeatures a trivial locomotion unit and also utilizes various state-of-the-artneural network architectures for specific modular components of the system.These components perform specialized functions, such as automatic speechrecognition, object detection, natural language understanding, speechsynthesis, etc. We also discuss the constraints, challenges encountered,potential future applications and improvements towards succeeding prototypes.

Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired