UTARI student research assistant, Harish Nambiappan, along with students Ayon Roy and Sama Nikanfar, took home first place for their project “Human-Robot Interactive System for Warehouses using Speech, SLAM, and Deep Learning-based Barcode Recognition” at UTA’s College of Engineering Innovation Day.
The paper presents an initial investigation of a speech-based human-robot interaction system for locating items in a warehouse environment. The purpose relates do those with sight impairment, in that people who are blind or visually impaired (BVI) remain underemployed due to hesitancy in hiring. Novel interfaces like speech recognition and human-robot interaction are pivotal for inclusive workplace environments.
You can learn more and access the poster here.