Ayesha Jena

With Industry 5.0, it will become common to see robots actively collaborating with humans withinworkspaces. The challenge is to develop robots operating in shared spaces within unstructuredenvironments. A promising approach to optimizing the operational performance of Human-RobotInteraction (HRI) is to consider the Mixed-Initiative approach in which tasks and authority of humans andagents are dynamically defined based on abilities.Our aim is to have an interaction and reasoning framework for effective HRI collaboration. In order tomake these judgements, the system needs a reliable understanding of the overall situation (situationawareness), including underlying intentions of observable actions and provide a framework forclassifying various intentions, including initiation, movement, retrieval, idle observation, and compositeintentions. This classification is a significant step in addressing one of the major challenges in HRI, whichis bi-directional communication. This capability is pivotal in shaping the robot's behavior, ensuringeffective communication of the user's intentions. In turn, it enhances the robot's ability to comprehendhuman intentions during goal execution, leading to natural and safe interactions between humans androbots. Intention reading, as we define it, encompasses the ability to precisely comprehend the objectivesmotivating the observable actions executed by others.Currently I am using VR systems to have a framework for mixed initiative interaction where we cancollaborate and access humans’ intervention in these scenarios and provide useful insights into theseinteractions.

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