Max Robotics — Global Service Robot Directory + US Certification

About

Dinesh Babu Jayagopi is a researcher specializing in human-robot interaction (HRI), multimodal signal processing, and social computing, with a particular focus on enabling robots to engage naturally and intelligently with multiple humans in conversational settings. His most significant contribution is the development of the **Vernissage Corpus**, a richly annotated multimodal dataset capturing real-world conversational interactions between humans and a humanoid NAO robot. Introduced across landmark publications in 2012 and 2013, this dataset has become a valuable benchmark resource for perceptual tasks such as speaker localization, gaze analysis, and turn-taking, accumulating nearly 50 citations across its versions. A central theme of Jayagopi's work is **addressee estimation** — the challenge of determining to whom a speaker's utterance is directed in multi-party settings. His multiple investigations into contextual and multimodal cues for this problem reflect a deep commitment to making robots socially aware and responsive. By combining visual focus of attention, contextual signals, and machine learning, his research has meaningfully advanced the field of socially intelligent robotics. His work is particularly valuable for students and engineers seeking to build conversational robots capable of operating in dynamic, real-world human environments.