Multimodal Human Robot Interaction

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The use and scope of robots is increasing day by day as technology advances. Robots are crossing the industrial boundaries they were once confined to, and entering our day to day life as picking and dropping packages in warehouses, serving orders in restaurants, giving company and care to elderly, delivering medicines and food to contagious patients, cleaning and disinfecting hospitals in the current scenario of Covid-19 and so on. As these robots finds their place in workplaces around us, interaction between humans and robots becomes unavoidable. People still have some inhibitions, fears, or insecurities about working with or around robots mainly because of our different cultural backgrounds, knowledge, past experiences, and exposure to technology. There is a need of having a simple, natural, human-like, and intuitive interaction between humans and robots. Human Robot Interaction (HRI) is a field of study dedicated to understanding, designing, and evaluating robotic systems for use by or with humans. This research focuses on investigating multimodal human robot interaction involving non-traditional modalities of interaction like eye-gaze, hand-body gesture, speech and so on. The goals of this research include designing and developing intelligent multimodal HRI systems to work in collaboration with humans. This research aims to extend human interaction with robots to improve safety and reduce human effort by sharing low level (dirty, dangerous, boring repetitive) work with robots. Applications of this research can be in education and inclusion of users with special needs. In military and defense, natural and human-like control of mobile robotic systems like drones and ground vehicles may provide leverage over traditional systems. These systems can also be deployed to areas unsafe and hazardous to humans like disaster management and tasks like agriculture, surveillance, search, and rescue. This research may allow operators to have multimodal control of collaborative robots working in manufacturing, agriculture, automobile industries and nuclear power plants.