The Furhat Conference – creators edition

17th November 2022

The Furhat Conference Creators Edition took place in November 2022 and featured the work, stories and insights of the innovative creators of the global social robotics community. From entrepreneurs to researchers, students and robotics enthusiasts, the conference featured the diversity of ideas and people that are making the dream of social robots a reality.

If you missed the conference, don’t worry! The recordings of the different talks are available below. However, the post-presentation discussions, Q&A, and Furhat demonstrations were not recorded as this content is reserved for live attendees only.

And don’t forget about the conference tutorial! It is now available online so you can learn to create your own skills using the Furhat platform.


Listen to the talk recordings from Ian, Arushi, Benjamin, Léa, Ella and Thomas, as they showcase their work within the fields of social robots and conversational AI.

Ian Bernstein

Ian Bernstein is currently the Head of Product and Engineering at Titan Space Technologies. Prior to Titan, Ian served as Founder and Head of Product at Misty Robotics, a spin-off company from Sphero, Inc. focused on building platform robots for the home and front-of-business. Before the spin-off, Ian served as Co-Founder and CTO at Sphero which has shipped more than 4 million robots to date including the app-controlled Sphero Star Wars BB-8. Ian studied Electrical Engineering at Colorado State University.

Arushi Jindal
Senior Data & AI Consultant at Kyndryl

Arushi is part of the AI advisory and implementation team at Kyndryl. She has a decade of industry experience in the software engineering and data science fields. Her focus in current role is in business problem solving by usage of data and adoption of innovative technologies.

Arushi has been working on integrating Furhat robots with some of the chatbot technologies to deliver some client specific use cases.

Benjamin Kille
Postdoctoral Researcher at NTNU

Benjamin works as a postdoctoral researcher at the Norwegian Center for AI Innovation at the Norwegian University of Science and Technology in Trondheim. Previously, he obtained a PhD at the Technische Universität Berlin for his research on context-aware news personalization.

His research interests include personalization, natural language processing, and applied machine learning. Together with his colleagues at NorwAI, he develops generative language models for Norwegian. The field of social robotics presents an exciting domain to showcase applications and uses of such models.

Léa Haefflinger
Ph.D student, ATOS / Gipsa-lab

Léa is a Doctoral student at the company ATOS in France and at the Cognitive Robotics, Interactive Systems, & Speech Processing division of Gipsa-lab in Grenoble, France.

Her research focuses on attention management in multi-party interactions for a social robot. She is currently working on the generation of gaze and head movements for a robot animating a collaborative game.

Ella Velner
PhD Student at University of Twente

Ella Velner is a PhD student at the University of Twente (UTwente). She holds a MSc in Information Systems from the University of Amsterdam in 2019. Prior to that, she obtained a BA in Communication and Information Sciences from the VU Amsterdam. Her PhD focuses on responsible child-robot interaction, with a special interest in voice (of the robot as well as the child) and trust.

Thomas Beelen
PhD Student at University of Twente

Thomas Beelen is a PhD student at UTwente. He obtained his master’s degree in Human Computer Interaction & Design at KTH Royal Institute of Technology and UTwente, and has a BSc in Creative Technology from UTwente. His PhD is on child-robot interaction with a focus on eliciting child speech on their information needs during conversational search.

Furhat tutorial

Creating your first skill with the Kotlin Skill API

Creating situated, multi-party conversations with a social robot that includes social behaviour, multi-modal expression and user awareness is a daunting task. At Furhat Robotics we have created a Skill Framework that is both easy-to-use and powerful enough to allow researchers and innovators to orchestrate these rich and complex interactions.This tutorial will teach you who are new to the Furhat Platform the fundamentals of creating skills for Furhat using the Kotlin Skill API, and for those of you who are more experienced with the Furhat Platform, you will get useful tips and tricks to speed up and increase the quality of your skills.In the tutorial we will create a simple skill that includes:

– Spatial awareness of the interaction space
– Mixed initiative dialogue
– Multi-modal expressions
– Variation and natural behaviour

No pre-perquisites required.

To get a head start, checkout the Furhat SDK playlist on YouTube and get the Furhat SDK.

We want
your opinion!

If you participated in the tutorial, we would love to know your experience! We put together a couple of very short questions that will help us improve and bring more relevant tutorials to you in future conferences.

Take the short survey

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