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“It’s important to think of Pepper as a teaching aid or resource external to the classroom”: A social robot in a school for autistic children (2022)
Journal Article
Lemaignan, S., Newbutt, N., Rice, L., & Daly, J. (in press). “It’s important to think of Pepper as a teaching aid or resource external to the classroom”: A social robot in a school for autistic children. International Journal of Social Robotics, https://doi.org/10.1007/s12369-022-00928-4

For a period of 3 weeks in June 2021, we embedded a social robot (Softbank Pepper) in a Special Educational Needs (SEN) school for autistic children. The robot’s behaviours and integration into the school were co-designed with the children and teache... Read More about “It’s important to think of Pepper as a teaching aid or resource external to the classroom”: A social robot in a school for autistic children.

On determinism of game engines used for simulation-based autonomous vehicle verification (2022)
Journal Article
Chance, G., Ghobrial, A., McAreavey, K., Lemaignan, S., Pipe, T., & Eder, K. (2022). On determinism of game engines used for simulation-based autonomous vehicle verification. IEEE Transactions on Intelligent Transportation Systems, 23(11), 1-15. https://doi.org/10.1109/TITS.2022.3177887

Game engines are increasingly used as simulation platforms by the autonomous vehicle community to develop vehicle control systems and test environments. A key requirement for simulation-based development and verification is determinism, since a deter... Read More about On determinism of game engines used for simulation-based autonomous vehicle verification.

On the impact of different types of errors on trust in human-robot interaction: Are laboratory-based HRI experiments trustworthy? (2019)
Journal Article
Flook, R., Shrinah, A., Wijnen, L., Eder, K., Melhuish, C., & Lemaignan, S. (2019). On the impact of different types of errors on trust in human-robot interaction: Are laboratory-based HRI experiments trustworthy?. Interaction Studies, 20(3), 455-486. https://doi.org/10.1075/is.18067.flo

© John Benjamins Publishing Company Trust is a key dimension of human-robot interaction (HRI), and has often been studied in the HRI community. A common challenge arises from the difficulty of assessing trust levels in ecologically invalid environmen... Read More about On the impact of different types of errors on trust in human-robot interaction: Are laboratory-based HRI experiments trustworthy?.

Teaching robots social autonomy from in situ human guidance (2019)
Journal Article
Senft, E., Lemaignan, S., Baxter, P. E., Bartlett, M., & Belpaeme, T. (2019). Teaching robots social autonomy from in situ human guidance. Science Robotics, 4(35), Article eaat1186. https://doi.org/10.1126/scirobotics.aat1186

Striking the right balance between robot autonomy and human control is a core challenge in social robotics, in both technical and ethical terms. On the one hand, extended robot autonomy offers the potential for increased human productivity and for th... Read More about Teaching robots social autonomy from in situ human guidance.

Generating spatial referring expressions in a social robot: Dynamic vs. non-ambiguous (2019)
Journal Article
Wallbridge, C. D., Lemaignan, S., Senft, E., & Belpaeme, T. (2019). Generating spatial referring expressions in a social robot: Dynamic vs. non-ambiguous. Frontiers in Robotics and AI, 6, Article 67. https://doi.org/10.3389/frobt.2019.00067

Generating spatial referring expressions is key to allowing robots to communicate with people in an environment. The focus of most algorithms for generation is to create a non-ambiguous description, and how best to deal with the combination explosion... Read More about Generating spatial referring expressions in a social robot: Dynamic vs. non-ambiguous.

What can you see? Identifying cues on internal states from the movements of natural social interactions (2019)
Journal Article
Bartlett, M. E., Edmunds, C. E. R., Belpaeme, T., Thill, S., & Lemaignan, S. (2019). What can you see? Identifying cues on internal states from the movements of natural social interactions. Frontiers in Robotics and AI, 6, Article 49. https://doi.org/10.3389/frobt.2019.00049

© 2019 Bartlett, Edmunds, Belpaeme, Thill and Lemaignan. In recent years, the field of Human-Robot Interaction (HRI) has seen an increasing demand for technologies that can recognize and adapt to human behaviors and internal states (e.g., emotions an... Read More about What can you see? Identifying cues on internal states from the movements of natural social interactions.

UNDERWORLDS: Cascading situation assessment for robots (2018)
Journal Article
Wallhridge, C., Lemaignan, S., Sallami, Y., Wallbridge, C., Clodic, A., Belpaeme, T., & Alami, R. (2018). UNDERWORLDS: Cascading situation assessment for robots. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems, 7750-7757. https://doi.org/10.1109/IROS.2018.8594094

© 2018 IEEE. We introduce UNDERWORLDS, a novel lightweight framework for cascading spatio-temporal situation assessment in robotics. UNDERWORLDS allows programmers to represent the robot's environment as real-time distributed data structures, contain... Read More about UNDERWORLDS: Cascading situation assessment for robots.

The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics (2018)
Journal Article
Lemaignan, S., Edmunds, C. E. R., Senft, E., & Belpaeme, T. (2018). The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics. PLoS ONE, 13(10), 1-19. https://doi.org/10.1371/journal.pone.0205999

© 2018 Lemaignan et al. The study of the fine-grained social dynamics between children is a methodological challenge, yet a good understanding of how social interaction between children unfolds is important not only to Developmental and Social Psycho... Read More about The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics.

Supervised Autonomy for Online Learning in Human-Robot Interaction (2017)
Journal Article
Senft, E., Baxter, P., Kennedy, J., Lemaignan, S., & Belpaeme, T. (2017). Supervised Autonomy for Online Learning in Human-Robot Interaction. Pattern Recognition Letters, 99, 77-86. https://doi.org/10.1016/j.patrec.2017.03.015

© 2017 When a robot is learning it needs to explore its environment and how its environment responds on its actions. When the environment is large and there are a large number of possible actions the robot can take, this exploration phase can take pr... Read More about Supervised Autonomy for Online Learning in Human-Robot Interaction.

Artificial Cognition for Social Human-Robot Interaction: An Implementation (2016)
Journal Article
Lemaignan, S., Warnier, M., Sisbot, E. A., Clodic, A., & Alami, R. (2017). Artificial Cognition for Social Human-Robot Interaction: An Implementation. Artificial Intelligence, 247, 45-69. https://doi.org/10.1016/j.artint.2016.07.002

© 2017 The Authors Human–Robot Interaction challenges Artificial Intelligence in many regards: dynamic, partially unknown environments that were not originally designed for robots; a broad variety of situations with rich semantics to understand and i... Read More about Artificial Cognition for Social Human-Robot Interaction: An Implementation.

Learning by teaching a robot: The case of handwriting (2016)
Journal Article
Lemaignan, S., Jacq, A., Hood, D., Garcia, F., Paiva, A., & Dillenbourg, P. (2016). Learning by teaching a robot: The case of handwriting. IEEE Robotics and Automation Magazine, 23(2), 56-66. https://doi.org/10.1109/MRA.2016.2546700

© 1994-2011 IEEE. Thomas (all children's names have been changed) is five and a half years old and has been diagnosed with visuoconstructive deficits. He is under the care of an occupational therapist and tries to work around his inability to draw le... Read More about Learning by teaching a robot: The case of handwriting.

The Symmetry of Partner Modelling (2016)
Journal Article
Dillenbourg, P., Lemaignan, S., Sangin, M., Nova, N., & Molinari, G. (2016). The Symmetry of Partner Modelling. International Journal of Computer-Supported Collaborative Learning, 11(2), 227-253. https://doi.org/10.1007/s11412-016-9235-5

© 2016, International Society of the Learning Sciences, Inc. Collaborative learning has often been associated with the construction of a shared understanding of the situation at hand. The psycholinguistics mechanisms at work while establishing common... Read More about The Symmetry of Partner Modelling.