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All Outputs (77)

A decision-making architecture for human-robot collaboration: Model transferability (2023)
Presentation / Conference Contribution
Sobhani, M., Smith, J., Pipe, A., & Peer, A. (2023). A decision-making architecture for human-robot collaboration: Model transferability. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1 (719-726). https://doi.org/10.5220/0012210600003543

In this paper, we aim to demonstrate the potential for wider-ranging capabilities and ease of transferability of our recently developed decision-making architecture for human-robot collaboration. To this end, a somewhat related but different applicat... Read More about A decision-making architecture for human-robot collaboration: Model transferability.

A novel mirror neuron inspired decision-making architecture for human–robot interaction (2023)
Journal Article
Sobhani, M., Smith, J., Pipe, A., & Peer, A. (in press). A novel mirror neuron inspired decision-making architecture for human–robot interaction. International Journal of Social Robotics, https://doi.org/10.1007/s12369-023-00988-0

Inspired by the role of mirror neurons and the importance of predictions in joint action, a novel decision-making structure is proposed, designed and tested for both individual and dyadic action. The structure comprises models representing individual... Read More about A novel mirror neuron inspired decision-making architecture for human–robot interaction.

Usability study of a novel triple-arm mixed-reality robot teleoperation system (2023)
Presentation / Conference Contribution
Sobhani, M., Smith, A., Giuliani, M., & Pipe, T. (2022, November). Usability study of a novel triple-arm mixed-reality robot teleoperation system. Presented at IEEE 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), Sevilla, Spain

The usability of a novel triple-arm mixed-reality robot teleoperation system is investigated. The system is developed to provide a sense of remote presence for the operator. Different types of interfaces and camera setups have been proposed previousl... Read More about Usability study of a novel triple-arm mixed-reality robot teleoperation system.

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.

Automated extraction of 3D printed parts from unfused PA12 powder using a one-shot 3D printed compliant gripper (2021)
Journal Article
Cormack, J., Fotouhi, M., Adams, G., & Pipe, T. (2021). Automated extraction of 3D printed parts from unfused PA12 powder using a one-shot 3D printed compliant gripper. IEEE Robotics and Automation Letters, 6(4), 8655-8662. https://doi.org/10.1109/lra.2021.3113383

Automated individual part extraction from powder based 3D printers has the potential to save time and cost compared with fully manual part extraction, or part sorting following automated bulk separation of parts and unfused powder. This work details... Read More about Automated extraction of 3D printed parts from unfused PA12 powder using a one-shot 3D printed compliant gripper.

ShearTouch - Towards a wearable tactile feedback device to provide continuous shear force sensation in real time (2020)
Presentation / Conference Contribution
Wells, O., Pipe, T., Dogramadzi, S., & Studley, M. (2020). ShearTouch - Towards a wearable tactile feedback device to provide continuous shear force sensation in real time. In Towards Autonomous Robotic Systems (287-298). https://doi.org/10.1007/978-3-030-63486-5_30

Force feedback in current teleoperation systems typically only provides haptic/kinaesthetic feedback to operators in the form of normal forces. However, it is proposed in this paper that the introduction of shear (or lateral) force feedback to operat... Read More about ShearTouch - Towards a wearable tactile feedback device to provide continuous shear force sensation in real time.

Usability study of a robot companion for monitoring industrial processes (2020)
Presentation / Conference Contribution
Sita, E., Thomessen, T., Pipe, A. G., Studley, M., & Dailami, F. (2020). Usability study of a robot companion for monitoring industrial processes. In 2020 5th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) (37-42). https://doi.org/10.1109/acirs49895.2020.9162607

In this paper we present the findings of a usability study for a monitoring robotic unit tele-operated via a virtual fixtures (VF) based control framework. The study aims at investigating the impact of VF on the robot navigation as well as the impact... Read More about Usability study of a robot companion for monitoring industrial processes.

A connected autonomous vehicle testbed: Capabilities, experimental processes and lessons learned (2020)
Journal Article
Kent, T., Pipe, A., Richards, A., Hutchinson, J., & Schuster, W. (2020). A connected autonomous vehicle testbed: Capabilities, experimental processes and lessons learned. Automation, 1(1), 17-32. https://doi.org/10.3390/automation1010002

VENTURER was one of the first three UK government funded research and innovation projects on Connected Autonomous Vehicles (CAVs) and was conducted predominantly in the South West region of the country. A series of increasingly complex scenarios cond... Read More about A connected autonomous vehicle testbed: Capabilities, experimental processes and lessons learned.

Examining profiles for robotic risk assessment: Does a robot's approach to risk affect user trust? (2020)
Presentation / Conference Contribution
Bridgwater, T., Giuliani, M., van Maris, A., Baker, G., Winfield, A., & Pipe, T. (2020). Examining profiles for robotic risk assessment: Does a robot's approach to risk affect user trust?. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. , (23-31). https://doi.org/10.1145/3319502.3374804

© 2020 Association for Computing Machinery. As autonomous robots move towards ubiquity, the need for robots to make decisions under risk that are trustworthy becomes increasingly significant; both to aid acceptance and to fully utilise their autonomo... Read More about Examining profiles for robotic risk assessment: Does a robot's approach to risk affect user trust?.

A corroborative approach to verification and validation of human–robot teams (2019)
Journal Article
Webster, M., Western, D., Araiza-Illan, D., Dixon, C., Eder, K., Fisher, M., & Pipe, A. G. (2020). A corroborative approach to verification and validation of human–robot teams. International Journal of Robotics Research, 39(1), 73-99. https://doi.org/10.1177/0278364919883338

© The Author(s) 2019. We present an approach for the verification and validation (V&V) of robot assistants in the context of human–robot interactions, to demonstrate their trustworthiness through corroborative evidence of their safety and functional... Read More about A corroborative approach to verification and validation of human–robot teams.

Feed-forward selection of cerebellar models for calibration of robot sound source localization (2019)
Presentation / Conference Contribution
Baxendale, M. D., Nibouche, M., Secco, E. L., Pipe, A. G., & Pearson, M. J. (2019). Feed-forward selection of cerebellar models for calibration of robot sound source localization. https://doi.org/10.1007/978-3-030-24741-6_1

© 2019, Springer Nature Switzerland AG. We present a responsibility predictor, based on the adaptive filter model of the cerebellum, to provide feed-forward selection of cerebellar calibration models for robot Sound Source Localization (SSL), based o... Read More about Feed-forward selection of cerebellar models for calibration of robot sound source localization.

Robot companion for industrial process monitoring based on virtual fixtures (2018)
Presentation / Conference Contribution
Sita, E., Thomessen, T., Pipe, A. G., Dailami, F., & Studley, M. (2018). Robot companion for industrial process monitoring based on virtual fixtures. . https://doi.org/10.1109/IECON.2018.8591105

© 2018 IEEE. In this paper, the use of a monitoring companion is proposed to more efficiently collect the process information during the tuning of industrial systems, and therefore to assist the system integrator in the optimization process for compl... Read More about Robot companion for industrial process monitoring based on virtual fixtures.

Audio Localization for Robots Using Parallel Cerebellar Models (2018)
Journal Article
Baxendale, M., Pearson, M., Nibouche, M., Secco, E., & Pipe, T. (2018). Audio Localization for Robots Using Parallel Cerebellar Models. IEEE Robotics and Automation Letters, 3(4), 3185-3192. https://doi.org/10.1109/LRA.2018.2850447

© 2016 IEEE. A robot audio localization system is presented that combines the outputs of multiple adaptive filter models of the Cerebellum to calibrate a robot's audio map for various acoustic environments. The system is inspired by the MOdular Selec... Read More about Audio Localization for Robots Using Parallel Cerebellar Models.

ROS-Unity3D based system for monitoring of an industrial robotic process (2018)
Presentation / Conference Contribution
Sita, E., Horváth, C. M., Thomessen, T., Korondi, P., & Pipe, A. G. (2018). ROS-Unity3D based system for monitoring of an industrial robotic process. . https://doi.org/10.1109/SII.2017.8279361

© 2017 IEEE. Planning and monitoring the manufacturing of high quality one-of-a-kind products are challenging tasks. In the implementation of an industrial system, the commissioning phase is typically comprised of a programming phase and an optimizat... Read More about ROS-Unity3D based system for monitoring of an industrial robotic process.

Feature and performance comparison of the V-REP, Gazebo and ARGoS robot simulators (2018)
Presentation / Conference Contribution
Pitonakova, L., Giuliani, M., Pipe, A., & Winfield, A. (2018). Feature and performance comparison of the V-REP, Gazebo and ARGoS robot simulators. Lecture Notes in Artificial Intelligence, 10965 LNAI, 357-368. https://doi.org/10.1007/978-3-319-96728-8_30

© Springer International Publishing AG, part of Springer Nature 2018. In this paper, the characteristics and performance of three open-source simulators for robotics, V-REP, Gazebo and ARGoS, are thoroughly analysed and compared. While they all allow... Read More about Feature and performance comparison of the V-REP, Gazebo and ARGoS robot simulators.

Towards multimodal interactions: Robot jogging in mixed reality (2017)
Presentation / Conference Contribution
Sita, E., Studley, M., Dailami, F., Pipe, A. G., & Thomessen, T. (2017). Towards multimodal interactions: Robot jogging in mixed reality. In Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology - VRST '17 (1-2). https://doi.org/10.1145/3139131.3141200

© 2017 Copyright held by the owner/author(s). The recent progress made in the field of Augmented Reality/Mixed Reality (AR/MR) has opened new possibilities and approaches to research areas that can benefit from 3D visualization of digital content in... Read More about Towards multimodal interactions: Robot jogging in mixed reality.

Self-adaptive context aware audio localization (2017)
Book Chapter
Baxendale, M., Pearson, M. J., Nibouche, M., Secco, M., & Pipe, A. G. (2017). Self-adaptive context aware audio localization. In C. Lekakou, Y. Jin, S. Fallah, & G. Yang (Eds.), Towards Autonomous Robotic Systems (66-78). LNCS 10454: Springer link

An audio sensor system is presented that uses multiple cere- bellar models to determine the acoustic environment in which a robot is operating, allowing the robot to select appropriate models to calibrate its audio-motor map for the detected environ... Read More about Self-adaptive context aware audio localization.

Toward Bio-Inspired Tactile Sensing Capsule Endoscopy for Detection of Submucosal Tumors (2016)
Journal Article
Pipe, T., Winstone, B., Melhuish, C., Pipe, A. G., Callaway, M., & Dogramadzi, S. (2017). Toward Bio-Inspired Tactile Sensing Capsule Endoscopy for Detection of Submucosal Tumors. IEEE Sensors Journal, 17(3), 848-857. https://doi.org/10.1109/JSEN.2016.2627798

© 2016 IEEE. Here, we present a method for lump characterization using a bio-inspired remote tactile sensing capsule endoscopy system. While current capsule endoscopy utilizes cameras to diagnose lesions on the surface of the gastrointestinal tract l... Read More about Toward Bio-Inspired Tactile Sensing Capsule Endoscopy for Detection of Submucosal Tumors.

Single motor actuated peristaltic wave generator for a soft bodied worm robot (2016)
Presentation / Conference Contribution
Winstone, B., Pipe, A. G., Melhuish, C., Callaway, M., Etoundi, A., & Dogramadzi, S. (2016, June). Single motor actuated peristaltic wave generator for a soft bodied worm robot. Paper presented at BioRob 2016 - IEEE International Conference on Biomedical Robotics and Biomechatronics, Singapore

This paper presents the design and development of a single motor actuated peristaltic worm robot with three segments using a bio-inspired method of locomotion with one actuator that achieves optimised worm like peristaltic motion. Each segment consis... Read More about Single motor actuated peristaltic wave generator for a soft bodied worm robot.