Bipin Indurkhya

About

Bipin Indurkhya is a prominent researcher at the intersection of human-robot interaction (HRI), social robotics, and intelligent systems, with particular expertise in child-robot interaction (CRI) and affective computing. His work spans the design, evaluation, and real-world deployment of social robots across diverse contexts, including kindergartens, museums, and elderly care settings. Indurkhya's most influential contribution — a systematic review of visual programming environments for end-user robot development (81 citations) — has become a key reference for researchers bridging robotics and accessible programming. His extensive in-the-wild studies with the Pepper robot in Polish and Japanese kindergartens have illuminated how trust, expectations, and unexpected robot behaviors shape children's perceptions and interactions with machines. These studies carry significant implications for the ethical and pedagogical design of social robots. Beyond child-focused research, Indurkhya has explored multimodal human-computer interaction incorporating emotional and contextual cues, gesture-based robot control, robot-assisted learning with affective feedback, and participatory design for elderly care robotics. His accumulated citation record reflects broad influence across HRI subfields. Together, his contributions position him as a thoughtful advocate for human-centered, emotionally intelligent, and contextually grounded robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Visual Programming Environments for End-User Development of intelligent and social robots, a systematic review

   81 citations · 2020
2. 2
   Dance with Me! Child-Robot Interaction in the Wild

   22 citations · 2017
3. 3
   Exploring the Role of Trust and Expectations in CRI Using In-the-Wild Studies

   14 citations · 2021
4. 4
   A novel human robot interaction using the Wiimote

   13 citations · 2010
5. 5
   On the Role of Trust in Child-Robot Interaction

   13 citations · 2019
6. 6
   Multi-Platform Intelligent System for Multimodal Human-Computer Interaction

   13 citations · 2021
7. 7
   A Study on the Role of Affective Feedback in Robot-Assisted Learning

   13 citations · 2023
8. 8
   A participatory design approach to using social robots for elderly care*

   8 citations · 2024
9. 9
   Are robots vegan? Unexpected behaviours in child-robot interactions and their design implications

   8 citations · 2023
10. 10
    Adapting Everyday Manipulation Skills to Varied Scenarios

    8 citations · 2019

Key Collaborators

Contact & Links