All Outputs (30)

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.

The Goods and Bads in Dyadic Co-Manipulation: Identifying Conflict-Driven Interaction Behaviours in Human-Human Collaboration (2020)
Conference Proceeding
Issak, I., & Kucukyilmaz, A. (2020). The Goods and Bads in Dyadic Co-Manipulation: Identifying Conflict-Driven Interaction Behaviours in Human-Human Collaboration. In UKRAS20 Conference: “Robots into the real world”: proceedings: UKRAS20 Conference Proceedings: 17th April 2020 (37-39). https://doi.org/10.31256/Fv3Gn1L

One of the challenges in collaborative human-robot object transfer is the robot’s ability to infer about the interaction state and adapt to it in real time. During joint object transfer humans communicate about the interaction states through mul- tip... Read More about The Goods and Bads in Dyadic Co-Manipulation: Identifying Conflict-Driven Interaction Behaviours in Human-Human Collaboration.

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.

Online Identification of Interaction Behaviors From Haptic Data During Collaborative Object Transfer (2019)
Journal Article
Kucukyilmaz, A., & Issak, I. (2020). Online Identification of Interaction Behaviors From Haptic Data During Collaborative Object Transfer. IEEE Robotics and Automation Letters, 5(1), 96-102. https://doi.org/10.1109/LRA.2019.2945261

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.

Learning Shared Control by Demonstration for Personalized Wheelchair Assistance (2018)
Journal Article
Kucukyilmaz, A., & Demiris, Y. (2018). Learning Shared Control by Demonstration for Personalized Wheelchair Assistance. IEEE Transactions on Haptics, 11(3), 431-442. https://doi.org/10.1109/TOH.2018.2804911

An emerging research problem in assistive robotics is the design of methodologies that allow robots to provide personalized assistance to users. For this purpose, we present a method to learn shared control policies from demonstrations offered by a h... Read More about Learning Shared Control by Demonstration for Personalized Wheelchair Assistance.

One-shot assistance estimation from expert demonstrations for a shared control wheelchair system (2015)
Conference Proceeding
Kucukyilmaz, A., & Demiris, Y. (2015). One-shot assistance estimation from expert demonstrations for a shared control wheelchair system. https://doi.org/10.1109/roman.2015.7333600

An emerging research problem in the field of assistive robotics is the design of methodologies that allow robots to provide human-like assistance to the users. Especially within the rehabilitation domain, a grand challenge is to program a robot to mi... Read More about One-shot assistance estimation from expert demonstrations for a shared control wheelchair system.

Recognition of Haptic Interaction Patterns in Dyadic Joint Object Manipulation (2014)
Journal Article
Madan, C. E., Kucukyilmaz, A., Sezgin, T. M., & Basdogan, C. (2015). Recognition of Haptic Interaction Patterns in Dyadic Joint Object Manipulation. IEEE Transactions on Haptics, 8(1), 54-66. https://doi.org/10.1109/toh.2014.2384049

The development of robots that can physically cooperate with humans has attained interest in the last decades. Obviously, this effort requires a deep understanding of the intrinsic properties of interaction. Up to now, many researchers have focused o... Read More about Recognition of Haptic Interaction Patterns in Dyadic Joint Object Manipulation.