Browsing by Author "ECS Computer Science VLs"

Now showing items 1-17 of 17

    • Bluetooth low energy for autonomous human-robot interaction 

      Scheunemann, Marcus M.; Dautenhahn, Kerstin (IEEE Computer Society, 2017-03-06)
      This demonstration shows how inexpensive, off-the-shelf, and unobtrusive Bluetooth Low Energy (BLE) devices can be utilized for enabling robots to recognize touch gestures, to perceive proximity information, and to distinguish ...

    • Collection of Metaphors for Human-Robot Interaction 

      Alves-Oliveira, Patrícia; Luce Lupetti, Maria; Luria, Michal; Löffler, Diana; Gamboa, Mafalda; Albaugh, Lea; Kamino, Waki; Ostrowski, Anastasia; Puljiz, David; Reynolds-Cuéllar, Pedro; Scheunemann, Marcus; Suguitan, Michael; Lockton, Dan (ACM Press, 2021-06-28)
      The word "robot" frequently conjures unrealistic expectations of utilitarian perfection: tireless, efficient, and flawless agents. However, real-world robots are far from perfect—they fail and make mistakes. Thus, roboticists ...

    • The collection, analysis and exploitation of footballer attributes: A systematic review 

      Wakelam, Ed; Steuber, Volker; Wakelam, James (2022-03-11)
      There is growing on-going research into how footballer attributes, collected prior to, during and post-match, may address the demands of clubs, media pundits and gaming developers. Focusing upon individual player performance ...

    • Deep Learning for Semantic Segmentation on Minimal Hardware 

      Dijk, Sander G. van; Scheunemann, Marcus M. (Springer Nature, 2019-08-04)
      Deep learning has revolutionised many fields, but it is still challenging to transfer its success to small mobile robots with minimal hardware. Specifically, some work has been done to this effect in the RoboCup humanoid ...

    • Evaluating people's perceptions of trust in a robot in a repeated interactions study 

      Rossi, Alessandra; Dautenhahn, Kerstin; Koay, Kheng; Walters, Michael; Holthaus, Patrick (2020-11-06)
      Trust has been established to be a key factor in fostering human-robot interactions. However, trust can change overtime according to different factors, including a breach of trust due to a robot’s error. In this exploratory ...

    • Example recordings of human-robot interactions in the rejection and prohibition experiments 

      Foerster, Frank; Nehaniv, Chrystopher; Saunders, Joe; Lehmann, Hagen (2019-08-29)
      This video shows some example interactions between participants and the humanoid robot iCub that were recorded within experiments on the acquisition of linguistic negation. The iCub robot acquires its speech solely based ...

    • The Host Galaxies of Hybrid Morphology Radio Sources 

      Stroe, Andra; Catlett, Victoria; Harwood, Jeremy J.; Vernstrom, Tessa; Mingo, Beatriz (2022-12-16)
      Based on their differing radio morphologies, powerful radio galaxies can be separated into the Fanaroff-Riley I (FR I) and II (FR II) classes. Hybrid morphology radio sources (HyMoRS) contain morphologies consistent with ...

    • How to Solve AI Bias 

      Bradley, Robin (2020-02-17)
      Bias in AI is a topic that impacts machine learning and artificial intelligence technology that learns from datasets and its training data. While gender discrimination and chatbots showing bias have recently caught people’s ...

    • Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction 

      Scheunemann, Marcus; Salge, Christoph; Polani, Daniel; Dautenhahn, Kerstin (2022-02-22)
      A challenge in using robots in human-inhabited environments is to design behavior that is engaging, yet robust to the perturbations induced by human interaction. Our idea is to imbue the robot with intrinsic motivation ...

    • Robots Learning to Say `No': Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation 

      Foerster, Frank; Saunders, Joe; Lehmann, Hagen; Nehaniv, Chrystopher (2019-11-01)
      'No' belongs to the first ten words used by children and embodies the first active form of linguistic negation. Despite its early occurrence the details of its acquisition process remain largely unknown. The circumstance ...

    • ROS 2 for RoboCup 

      Scheunemann, Marcus M.; van Dijk, Sander G. (Springer Nature, 2019-12-01)
      There has always been much motivation for sharing code and solutions among teams in the RoboCup community. Yet the transfer of code between teams was usually complicated due to a huge variety of used frameworks and their ...

    • A space of goals: the cognitive geometry of informationally bounded agents : the cognitive geometry of informationally bounded agents 

      Archer, Karen; Catenacci Volpi, Nicola; Bröker, Franziska; Polani, Daniel (2022-12-07)
      Traditionally, Euclidean geometry is treated by scientists as a priori and objective. However, when we take the position of an agent, the problem of selecting a best route should also factor in the abilities of the agent, ...

    • Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting 

      Bagchi, Shelly; Holthaus, Patrick; Beraldo, Gloria; Senft, Emmanuel; Hernández García, Daniel; Han, Zhao; Jayaraman, Suresh Kumaar; Rossi, Alessandra; Esterwood, Connor; Andriella, Antonio; Pridham, Paul (ACM Press, 2023-03-13)
      In this paper, we present a proposed format for reporting human studies in Human-Robot Interaction (HRI). We call for details which are often overlooked or left out of research papers due to space constraints, and propose ...

    • Towards Scalable Measures of Quality of Interaction: Motor Interference 

      Foerster, Frank; Nehaniv, Chrystopher; Dautenhahn, Kerstin (2019-12-01)
      Motor resonance, the activation of an observer's motor control system by another actor's movements, has been claimed to be an indicator for quality of interaction. Motor interference as one of the consequences of the ...

    • Trust, Acceptance and Social Cues in Human–Robot Interaction (SCRITA) 

      Rossi, Alessandra; Holthaus, Patrick; Perugia, Giulia; Moros Espanol, Sílvia; Scheunemann, Marcus (2021-12-01)

    • Utilizing Bluetooth Low Energy to recognize proximity, touch and humans 

      Scheunemann, Marcus M.; Dautenhahn, Kerstin; Salem, Maha; Robins, Ben (Institute of Electrical and Electronics Engineers (IEEE), 2016-11-17)
      Interacting with humans is one of the main challenges for mobile robots in a human inhabited environment. To enable adaptive behavior, a robot needs to recognize touch gestures and/or the proximity to interacting individuals. ...

    • Warmth and Competence to Predict Human Preference of Robot Behavior in Physical Human-Robot Interaction 

      Scheunemann, Marcus M.; Cuijpers, Raymond H.; Salge, Christoph (Institute of Electrical and Electronics Engineers (IEEE), 2020-10-14)
      A solid methodology to understand human perception and preferences in human-robot interaction (HRI) is crucial in designing real-world HRI. Social cognition posits that the dimensions Warmth and Competence are central and ...