activity
20172026
most citedSetting Up Pepper For Autonomous Navigation And Personalized Interaction With Users

15 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

EMBL AI Librarian: Life-Sciences Knowledge Layer for AI Agents

Luigi Sigillo, Matteo Silvestri, Francesco Tabaro +9

The web is increasingly accessed by AI agents rather than humans. Every agent needs knowledge, especially in the life-sciences, where agentic pipelines are growing fast. Access to…

cs.CL2021

Style Control for Schema-Guided Natural Language Generation

Alicia Y. Tsai, Shereen Oraby, Vittorio Perera +5

Natural Language Generation (NLG) for task-oriented dialogue systems focuses on communicating specific content accurately, fluently, and coherently. While these attributes are cruc…

cs.CL2021★ 3 cited

Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems

Anish Acharya, Suranjit Adhikari, Sanchit Agarwal +28

Traditional goal-oriented dialogue systems rely on various components such as natural language understanding, dialogue state tracking, policy learning and response generation. Trai…

cs.CL2020★ 4 cited

Schema-Guided Natural Language Generation

Yuheng Du, Shereen Oraby, Vittorio Perera +5

Neural network based approaches to data-to-text natural language generation (NLG) have gained popularity in recent years, with the goal of generating a natural language prompt that…

cs.RO2017★ 15 cited

Setting Up Pepper For Autonomous Navigation And Personalized Interaction With Users

Vittorio Perera, Tiago Pereira, Jonathan Connell +1

In this paper we present our work with the Pepper robot, a service robot from SoftBank Robotics. We had two main goals in this work: improving the autonomy of this robot by increas…