2022-09-08 - SENTRYnet has reached a successful conclusion, thanks everyone!
SENTRYnet is an academic / private sector collaboration to research technologies required for the construction and operation of security robots. The project includes the following members:
- CloudConstable Inc.
- Crosswing Inc.
- Debra Pepler's Lab
- Elder laboratory of Human and Computer Vision
- VGR Lab
Research and development tasks within the SENTRYnet project are performed by a set of coordinated research thrusts. They are responsible for investigating and developing technologies related to:
- Sensing for human-robot interaction, and in particular sensing for person localization and behaviour characterization from passive sensors;
- Trust in visitor-robot interaction and threat de-escalation;
- Strategies for engaging and trust-engendering human-robot interaction;
- Trust in human-robot teams;
- The development of physical robot operations plans and interaction behaviours to engender trust of the autonomous system.
CrossWing promotional video describing Bishop, the main robot platform of the SENTRYnet project
<iframe width="560" height="315" src="https://www.youtube.com/embed/8VhnNrQmc58?si=L-iqAy7s-bL3z_sb" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>- Chandola, D. (2024). Speech emotion recognition in conversations using graph convolutional networks. (link)
- Craig, S., Lavan, S., Altarawneh, E., Chandola, D., Khan, W., Pepler, D., & Jenkin, M. (2024, August). Technology exposure elicits increased acceptance of autonomous robots and avatars. In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN) (pp. 916-923). IEEE. (link)
- Perroni Filho, H., Trajcevski, A., Bhargava, K., Javed, N., & Elder, J. H. (2023, January). Attentive sensing for long-range face recognition. In 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) (pp. 613-622). IEEE. (link)
- Pierce, K., Pepler, D. J., Craig, S. G., & Jenkin, M. (2023). Considerations for developing robot-assisted crisis de-escalation practices. Applied Sciences, 13(7), 4337. (link)
- Tarawneh, E., Rousseau, J. J., Craig, S. G., Chandola, D., Khan, W., Faizi, A., & Jenkin, M. (2022, August). An Infrastructure for Studying the Role of Sentiment in Human-Robot Interaction. In International Conference on Pattern Recognition (pp. 89-105). Cham: Springer Nature Switzerland. (link)
- Trajcevski, A., Filho, H. P., Javed, N., Naheyan, T., Bhargava, K., & Elder, J. H. (2022, August). Sensorimotor System Design of Socially Intelligent Robots. In International Conference on Pattern Recognition (pp. 106-118). Cham: Springer Nature Switzerland. (link)