Trosolwyg
I am a roboticist specialised in Human-Robot Interaction (HRI) working as a Lecturer in the School of Computer Science and Informatics as part of the Human-Centered Computing group. Previously I worked as an associate in the Centre for Artificial Intelligence, Robotics and Human Machine Systems (IROHMS) at Cardiff.
During my PhD at Plymouth University I worked on natural communication between robots and people culminating in my thesis on "Dynamic generation of spatial referring expressions for social robots".
My work continues to focus on natural communication, especially in safety critical or accident scenarios.
Cyhoeddiad
2024
- Wallbridge, C. D., Zhang, Q., Marcinkiewicz, V. E. K., Bowen, L., Kozlowski, T., Jones, D. M. and Morgan, P. L. 2024. "Warning!" Benefits and pitfalls of anthropomorphising autonomous vehicle informational assistants in the case of an accident. Multimodal Technologies and Interaction 8(12), article number: 110. (10.3390/mti8120110)
- Zhang, Q., Wallbridge, C. D., Jones, D. M. and Morgan, P. L. 2024. Public perception of autonomous vehicle capability determines judgment of blame and trust in road traffic accidents. Transportation Research Part A: Policy and Practice 179, article number: 103887. (10.1016/j.tra.2023.103887)
- He, Y., Wallbridge, C., Hernandez, J. D. and Colombo, G. 2024. Few-shot transfer learning for deep reinforcement learning on robotic manipulation tasks. Presented at: 25th Annual Conference Towards Autonomous Robotic Systems (TAROS 2024), London, UK, 21-23 August 2024.
2023
- Wallbridge, C. D., McGregor, C., Drozdz, N., Von Dem Hagen, E. and Jones, C. R. G. 2023. A systematic review of familiarisation methods used in human-robot interactions for autistic participants. International Journal of Social Robotics (10.1007/s12369-023-01015-y)
- Morgan, P. L., Marcinkiewicz, V. E. K., Zhang, Q., Kozlowski, T. R. W., Bowen, L. and Wallbridge, C. D. 2023. An optimized paradigm to measure effects of anthropomorphized self-driving cars on trust and blame following an accident. Presented at: IEEE Ro-Man 2023 - SCRTIA – Trust, Acceptance and Social Cues in Human-Robot Interaction, 28 August 2023 - 31 August 2023.
2022
- Wallbridge, C. D., Marcinkiewicz, V., Zhang, Q. and Morgan, P. 2022. Towards anthropomorphising autonomous vehicles: speech and embodiment on trust and blame after an accident. Presented at: Robot Trust for Symbiotic Societies (RTSS) at IROS 2022, Kyoto, Japan, 23-27 October 2022.
- Zhang, Q., Wallbridge, C., Morgan, P. L. and Jones, D. M. 2022. Using simulation-software-generated animations to investigate attitudes towards autonomous vehicles accidents. Procedia Computer Science 207, pp. 3516-3525. (10.1016/j.procs.2022.09.410)
- Wallbridge, C. D., Smith, A., Giuliani, M., Melhuish, C., Belpaeme, T. and Lemaignan, S. 2022. The effectiveness of dynamically processed incremental descriptions in human robot interaction. ACM Transactions on Human-Robot Interaction 11(1), article number: 7. (10.1145/3481628)
- Marcinkiewicz, V., Wallbridge, C. D., Zhang, Q. and Morgan, P. 2022. Integrating humanoid robots into simulation software generated animations to explore judgments on self-driving car Accidents. Presented at: IEEE Ro-Man 2022 Conference, Naples, Italy, 29 August - 2 September 2022.
2021
- Zhang, Q., Wallbridge, C. D., Jones, D. M. and Morgan, P. 2021. The blame game: double standards apply to autonomous vehicle accidents. Presented at: AHFE 2021 Virtual Conference on Human Aspects of Transportation, Virtual, 25-29 July 2021Advances in Human Aspects of Transportation. Lecture Notes in Networks and Systems Springer, Cham pp. 308-314., (10.1007/978-3-030-80012-3_36)
Cynadleddau
- He, Y., Wallbridge, C., Hernandez, J. D. and Colombo, G. 2024. Few-shot transfer learning for deep reinforcement learning on robotic manipulation tasks. Presented at: 25th Annual Conference Towards Autonomous Robotic Systems (TAROS 2024), London, UK, 21-23 August 2024.
- Morgan, P. L., Marcinkiewicz, V. E. K., Zhang, Q., Kozlowski, T. R. W., Bowen, L. and Wallbridge, C. D. 2023. An optimized paradigm to measure effects of anthropomorphized self-driving cars on trust and blame following an accident. Presented at: IEEE Ro-Man 2023 - SCRTIA – Trust, Acceptance and Social Cues in Human-Robot Interaction, 28 August 2023 - 31 August 2023.
- Wallbridge, C. D., Marcinkiewicz, V., Zhang, Q. and Morgan, P. 2022. Towards anthropomorphising autonomous vehicles: speech and embodiment on trust and blame after an accident. Presented at: Robot Trust for Symbiotic Societies (RTSS) at IROS 2022, Kyoto, Japan, 23-27 October 2022.
- Marcinkiewicz, V., Wallbridge, C. D., Zhang, Q. and Morgan, P. 2022. Integrating humanoid robots into simulation software generated animations to explore judgments on self-driving car Accidents. Presented at: IEEE Ro-Man 2022 Conference, Naples, Italy, 29 August - 2 September 2022.
- Zhang, Q., Wallbridge, C. D., Jones, D. M. and Morgan, P. 2021. The blame game: double standards apply to autonomous vehicle accidents. Presented at: AHFE 2021 Virtual Conference on Human Aspects of Transportation, Virtual, 25-29 July 2021Advances in Human Aspects of Transportation. Lecture Notes in Networks and Systems Springer, Cham pp. 308-314., (10.1007/978-3-030-80012-3_36)
Erthyglau
- Wallbridge, C. D., Zhang, Q., Marcinkiewicz, V. E. K., Bowen, L., Kozlowski, T., Jones, D. M. and Morgan, P. L. 2024. "Warning!" Benefits and pitfalls of anthropomorphising autonomous vehicle informational assistants in the case of an accident. Multimodal Technologies and Interaction 8(12), article number: 110. (10.3390/mti8120110)
- Zhang, Q., Wallbridge, C. D., Jones, D. M. and Morgan, P. L. 2024. Public perception of autonomous vehicle capability determines judgment of blame and trust in road traffic accidents. Transportation Research Part A: Policy and Practice 179, article number: 103887. (10.1016/j.tra.2023.103887)
- Wallbridge, C. D., McGregor, C., Drozdz, N., Von Dem Hagen, E. and Jones, C. R. G. 2023. A systematic review of familiarisation methods used in human-robot interactions for autistic participants. International Journal of Social Robotics (10.1007/s12369-023-01015-y)
- Zhang, Q., Wallbridge, C., Morgan, P. L. and Jones, D. M. 2022. Using simulation-software-generated animations to investigate attitudes towards autonomous vehicles accidents. Procedia Computer Science 207, pp. 3516-3525. (10.1016/j.procs.2022.09.410)
- Wallbridge, C. D., Smith, A., Giuliani, M., Melhuish, C., Belpaeme, T. and Lemaignan, S. 2022. The effectiveness of dynamically processed incremental descriptions in human robot interaction. ACM Transactions on Human-Robot Interaction 11(1), article number: 7. (10.1145/3481628)
Ymchwil
My work focuses on natural social communication between humans and robots to enhance collaboration. My work encompasses a wide range of purposes, such as developing methods to help autistic children, improve communication in safety critical scenarios, or even how to trust new technology.
My full list of publications can be found on my Google Scholar Profile.
Addysgu
I am currently developing a new module in Human-Robot Interaction, with a start date to be determined.
Bywgraffiad
I studied at the University of Nottingham for a BSc in Computer Science with Robotics, graduating in 2010. After spending several years working on software for warehouse management I decided to return to academia. At the University of Plymouth I studied for an MSc in Robotics. Upon graduating in 2016 I immediately started a PhD in Human Robot Interaction with supervisors Tony Belpaeme, Séverin Lemaignan and Angelo Cangelosi. My Thesis titled 'Dynamic Generation of Spatial Referring Expressions for Social Robots' was accepted in January 2021.
I came to Cardiff University initially as a research associate at the Centre for Artificial Intelligence, Robotics and Human-Machine Systems (IROHMS) in February 2020. In November 2022 I started as a lecturer for the School of Computer Science and Robotics.
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Goruchwyliaeth gyfredol
Carly Mcgregor
Myfyriwr ymchwil
Yuanzhi He
Myfyriwr ymchwil
Contact Details
Themâu ymchwil
Arbenigeddau
- Rhyngweithio dynol-robot
- Cyfrifiadura sy'n canolbwyntio ar bobl
- AI egluradwy