Satanjeev Banerjee

Papers

Total Citations

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About

Satanjeev Banerjee is a leading researcher in multi-agent dialogue systems and human-robot interaction, with a particular focus on heterogeneous multi-robot communication. His most-cited work, "Heterogeneous Multi-Robot Dialogues for Search Tasks" (2018), challenges the conventional one-to-one human-agent interaction model by exploring scenarios where multiple distinct robotic agents must coordinate and converse with a single human user. This foundational paper, with 7 citations, introduces novel frameworks for managing turn-taking, information sharing, and task allocation among robots with different capabilities during collaborative search operations. Banerjee's contributions are critical for advancing real-world applications such as disaster response, warehouse logistics, and space exploration, where diverse robots must work seamlessly with human teams. His research bridges natural language processing, robotics, and multi-agent systems, offering practical solutions for complex, dynamic environments. By pioneering methods for heterogeneous multi-robot dialogues, Banerjee has laid important groundwork for the next generation of collaborative autonomous systems, making his work essential reading for students and researchers in AI, robotics, and human-robot interaction.