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All Outputs (22)

Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space (2024)
Conference Proceeding
Benford, S., Mancini, C., Chamberlain, A., Schneiders, E., Castle-Green, S., Fischer, J., …Ju, R. F. (in press). Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space.

While ethical challenges are widely discussed in HCI, far less is reported about the ethical processes that researchers routinely navigate. We reflect on a multispecies project that negotiated an especially complex ethical approval process. Cat Royal... Read More about Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space.

LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems (2023)
Conference Proceeding
Fatehi, K., & Kucukyilmaz, A. (2023). LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems. In Interspeech 2023

With advances in deep learning methodologies, Automatic Speech Recognition (ASR) systems have seen impressive results. However, ASR in Low-Resource Environments (LREs) are challenged by a lack of training data for the specific target domain. We propo... Read More about LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems.

TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals (2023)
Conference Proceeding
Schneiders, E., Chamberlain, A., Fischer, J. E., Benford, S., Castle-Green, S., Ngo, V., …Mills, D. (2023). TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3597517

Cat Royale is an artist-led exploration of trustworthy autonomous systems (TAS) created by the TAS Hub's creative ambassadors Blast Theory. A small community of cats inhabits a purpose built 'cat utopia' at the centre of which a robot arm tries to en... Read More about TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals.

Somabotics Toolkit for Rapid Prototyping Human-Robot Interaction Experiences using Wearable Haptics (2023)
Presentation / Conference
Zhou, F., Price, D., Pacchierotti, C., & Kucukyilmaz, A. (2023, July). Somabotics Toolkit for Rapid Prototyping Human-Robot Interaction Experiences using Wearable Haptics. Poster presented at IEEE World Haptics Conference, Delft, Netherlands

This work-in-progress paper presents a prototyping toolkit developed to design haptic interaction experiences. With developments in wearable and sensor technologies, new opportunities arise everyday to create rich haptic interaction experiences actin... Read More about Somabotics Toolkit for Rapid Prototyping Human-Robot Interaction Experiences using Wearable Haptics.

In-the-Wild Failures in a Long-Term HRI Deployment (2023)
Presentation / Conference
Del Duchetto, F., Kucukyilmaz, A., & Hanheide, M. (2023, May). In-the-Wild Failures in a Long-Term HRI Deployment. Poster presented at International Conference on Robotics and Automation (ICRA), London, UK

Failures are typical in robotics deployments "in-the-wild", especially when robots perform their functions within social human spaces. This paper reports on the failures of an autonomous social robot called Lindsey, which has been used in a public mu... Read More about In-the-Wild Failures in a Long-Term HRI Deployment.

Resolving conflicts during human-robot co-manipulation (2023)
Conference Proceeding
Al-Saadi, Z., Hamad, Y. M., Aydin, Y., Kucukyilmaz, A., & Basdogan, C. (2023). Resolving conflicts during human-robot co-manipulation. In HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (243-251). https://doi.org/10.1145/3568162.3576969

This paper proposes a machine learning (ML) approach to detect and resolve motion conflicts that occur between a human and a proactive robot during the execution of a physically collaborative task. We train a random forest classifier to distinguish b... Read More about Resolving conflicts during human-robot co-manipulation.

ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments (2022)
Conference Proceeding
Fatehi, K., Torres, M. T., & Kucukyilmaz, A. (2022). ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments. In Proceedings of Interspeech 2022 (3523-3527). https://doi.org/10.21437/Interspeech.2022-10270

Recent improvements in Automatic Speech Recognition (ASR) systems obtain extraordinary results. However, there are specific domains where training data can be either limited or not representative enough, which are known as Low-Resource Environments (... Read More about ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments.

Nottingham Robotic Mobility Assistant (NoRMA): An Affordable DIY Robotic Wheelchair Platform (2022)
Conference Proceeding
Brand, L. C., & Kucukyilmaz, A. (2022). Nottingham Robotic Mobility Assistant (NoRMA): An Affordable DIY Robotic Wheelchair Platform. In UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings. https://doi.org/10.31256/Kv8Ps6P

A significant portion of the population requires a wheelchair to improve mobility, independence, and dignity but not all users are able to use a traditional manual one. Powered wheelchairs offer a more effortless experience but still present difficul... Read More about Nottingham Robotic Mobility Assistant (NoRMA): An Affordable DIY Robotic Wheelchair Platform.

Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning (2022)
Conference Proceeding
Serhan, B., Pandya, H., Kucukyilmaz, A., & Neumann, G. (2022). Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning. In IEEE International Conference on Robotics and Automation (ICRA 2022) (1513-1519). https://doi.org/10.1109/ICRA46639.2022.9811645

Efficient robotic manipulation of objects for sorting and searching often rely upon how well the objects are perceived and the available grasp poses. The challenge arises when the objects are irregular, have similar visual features (e.g., textureless... Read More about Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning.

Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis (2021)
Journal Article
Laparidou, D., Curtis, F., Akanuwe, J., Goher, K., Niroshan Siriwardena, A., & Kucukyilmaz, A. (2021). Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis. Journal of NeuroEngineering and Rehabilitation, 18(1), Article 181. https://doi.org/10.1186/s12984-021-00976-3

Background: In recent years, robotic rehabilitation devices have often been used for motor training. However, to date, no systematic reviews of qualitative studies exploring the end-user experiences of robotic devices in motor rehabilitation have bee... Read More about Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis.

Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation (2021)
Conference Proceeding
Ly, K. T., Poozhiyil, M., Pandya, H., Neumann, G., & Kucukyilmaz, A. (2021). Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) (565-572). https://doi.org/10.1109/RO-MAN50785.2021.9515326

This paper presents a haptic shared control paradigm that modulates the level of robotic guidance, based on predictions of human motion intentions. The proposed method incorporates robot trajectories learned from human demonstrations and dynamically... Read More about Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation.

A Novel Haptic Feature Set for the Classification of Interactive Motor Behaviors in Collaborative Object Transfer (2020)
Journal Article
Al-saadi, Z., Sirintuna, D., Kucukyilmaz, A., & Basdogan, C. (2021). A Novel Haptic Feature Set for the Classification of Interactive Motor Behaviors in Collaborative Object Transfer. IEEE Transactions on Haptics, 14(2), 384-395. https://doi.org/10.1109/toh.2020.3034244

Haptics provides a natural and intuitive channel of communication during the interaction of two humans in complex physical tasks, such as joint object transportation. However, despite the utmost importance of touch in physical interactions, the use o... Read More about A Novel Haptic Feature Set for the Classification of Interactive Motor Behaviors in Collaborative Object Transfer.

Intelligent control of exoskeletons through a novel learning-from-demonstration method (2020)
Presentation / Conference
Ugur, E., Samur, E., Ugurlu, B., Erol Barkana, D., Kucukyilmaz, A., & Bebek, O. (2020, September). Intelligent control of exoskeletons through a novel learning-from-demonstration method. Poster presented at Cybathlon Symposium 2020, Zurich, Switzerland

We present a novel concept that enables the intelligent and adaptive control of exoskeletons through exploiting our state-of-the-art learning from demonstration (LfD) method, namely Conditional Neural Movement Primitives (CNMPs) [1], on our integrate... Read More about Intelligent control of exoskeletons through a novel learning-from-demonstration method.

Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm with an Identical Twin Master (2020)
Journal Article
Singh, J., Srinivasan, A. R., Neumann, G., & Kucukyilmaz, A. (2020). Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm with an Identical Twin Master. IEEE Transactions on Haptics, 13(1), 246-252. https://doi.org/10.1109/toh.2020.2971485

In this study, we describe two techniques to enable haptic-guided teleoperation using 7-DoF cobot arms as master and slave devices. A shortcoming of using cobots as master-slave systems is the lack of force feedback at the master side. However, recen... Read More about Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm with an Identical Twin Master.

VR-Fit: Walking-in-Place Locomotion with Real Time Step Detection for VR-Enabled Exercise (2019)
Conference Proceeding
Sari, S., & Kucukyilmaz, A. (2019). VR-Fit: Walking-in-Place Locomotion with Real Time Step Detection for VR-Enabled Exercise. In I. Awan, M. Younas, P. Ünal, & M. Aleksy (Eds.), In Mobile Web and Intelligent Information Systems (255-266). https://doi.org/10.1007/978-3-030-27192-3_20

With recent advances in mobile and wearable technologies, virtual reality (VR) found many applications in daily use. Today, a mobile device can be converted into a low-cost immersive VR kit thanks to the availability of do-it-yourself viewers in the... Read More about VR-Fit: Walking-in-Place Locomotion with Real Time Step Detection for VR-Enabled Exercise.

Haptic Role Allocation and Intention Negotiation in Human-Robot Collaboration (2013)
Thesis
Kucukyilmaz, A. (2013). Haptic Role Allocation and Intention Negotiation in Human-Robot Collaboration. (Thesis). Retrieved from https://nottingham-repository.worktribe.com/output/4040519

This dissertation aims to present a perspective to build more natural shared control systems for physical human-robot cooperation. As the tasks become more complex and more dynamic, many shared control schemes fail to meet the expectation of an effor... Read More about Haptic Role Allocation and Intention Negotiation in Human-Robot Collaboration.

The role of roles: Physical cooperation between humans and robots (2012)
Journal Article
Mörtl, A., Lawitzky, M., Kucukyilmaz, A., Sezgin, M., Basdogan, C., & Hirche, S. (2012). The role of roles: Physical cooperation between humans and robots. International Journal of Robotics Research, 31(13), 1656--1674. https://doi.org/10.1177/0278364912455366

Since the strict separation of working spaces of humans and robots has experienced a softening due to recent robotics research achievements, close interaction of humans and robots comes rapidly into reach. In this context, physical human–robot intera... Read More about The role of roles: Physical cooperation between humans and robots.

Conveying intentions through haptics in human-computer collaboration (2011)
Conference Proceeding
Kucukyilmaz, A., Sezgin, T. M., & Basdogan, C. (2011). Conveying intentions through haptics in human-computer collaboration. In 2011 IEEE World Haptics Conference. https://doi.org/10.1109/whc.2011.5945523

Haptics has been used as a natural way for humans to communicate with computers in collaborative virtual environments. Human-computer collaboration is typically achieved by sharing control of the task between a human and a computer operator. An impor... Read More about Conveying intentions through haptics in human-computer collaboration.

Haptic negotiation and role exchange for collaboration in virtual environments (2010)
Conference Proceeding
Oguz, S. O., Kucukyilmaz, A., Sezgin, T. M., & Basdogan, C. (2010). Haptic negotiation and role exchange for collaboration in virtual environments. https://doi.org/10.1109/haptic.2010.5444628

We investigate how collaborative guidance can be realized in multi-modal virtual environments for dynamic tasks involving motor control. Haptic guidance in our context can be defined as any form of force/tactile feedback that the computer generates t... Read More about Haptic negotiation and role exchange for collaboration in virtual environments.