Max Robotics — Global Service Robot Directory + US Certification

About

Vittorio Perera is a leading researcher in human-robot interaction, focusing on how robots can learn, understand, and communicate knowledge through natural language. His core contributions lie in developing systems that enable robots to acquire environmental and task-related knowledge from dialog and web access, moving beyond rigid, pre-programmed interactions. His seminal 2013 paper, "Learning environmental knowledge from task-based human-robot dialog" (60 citations), introduced a joint probabilistic model that allows robots to learn from unconstrained speech, a significant departure from traditional domain-restricted approaches. This work laid the foundation for his KnoWDiaL system, which combines dialog with web access to dynamically learn task knowledge. Perera also pioneered methods for robots to autonomously narrate their own experiences, as seen in his work on "Autonomous narration of humanoid robot kitchen task experience" (13 citations), and to understand complex, multi-condition commands. His practical impact is demonstrated in his 2017 paper on "Setting Up Pepper For Autonomous Navigation And Personalized Interaction With Users" (16 citations), which enhanced the autonomy of a commercial service robot. Through these innovations, Perera has advanced the vision of robots as truly knowledgeable and communicative partners.