Essays about: "Människa- robotinteraktion"

Showing result 1 - 5 of 12 essays containing the words Människa- robotinteraktion.

  1. 1. Safe Reinforcement Learning for Social Human-Robot Interaction : Shielding for Appropriate Backchanneling Behavior

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mohamed Akif; [2023]
    Keywords : Human-Robot Interaction; Backchanneling; Social Robots; Safe Reinforcement Learning; Shielding; Recurrent Neural Network; Gated Recurrent Unit; Människa-Robot Interaktion; Uppbackning; Sociala Robotar; Säker Förstärkningsinlärning; Avskärmning; Återkommande Neurala Nätverk; Gated Återkommande Enhet;

    Abstract : Achieving appropriate and natural backchanneling behavior in social robots remains a challenge in Human-Robot Interaction (HRI). This thesis addresses this issue by utilizing methods from Safe Reinforcement Learning in particular shielding to improve social robot backchanneling behavior. READ MORE

  2. 2. The impact of an anthropomorphic robot’s facial expressions on L2 learning outcomes and motivation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sara Danielsson; Emil Hammarberg; [2023]
    Keywords : Robot assisted language learning; RALL; human-robot interaction; HRI; non-verbal immediacy; NVI; Robotassisterad språkinlärning; människa-robotinteraktion; MDI; icke-verbal kommunikation;

    Abstract : In a regular classroom setting, a more emotionally expressive teacher has been shown to be positively correlated with learning outcomes and task motivation among the students. Would this also be the case if the teacher were a robot? This study investigates how the facial expressions of an anthropomorphic robot affect learning outcomes and task motivation in adult learners studying a second language by setting up an experiment using the Furhat robot. READ MORE

  3. 3. Towards Automatic Generation of Personality-Adapted Speech and Emotions for a Conversational Companion Robot

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alessio Galatolo; [2022]
    Keywords : Personality; Emotions; Human-Robot Interaction; Machine Learning; Large Language Models; Text-style transfer; GPT-3; STRAP; Personlighet; Känslor; Människa-robotinteraktion; Maskininlärning; Stora Språkmodeller; Överföring av text; GPT-3; STRAP;

    Abstract : Previous works in Human-Robot Interaction have demonstrated the positive potential benefit of designing highly anthropomorphic robots. This includes physical appearance but also whether they can express emotions, behave in a congruent manner, etc. READ MORE

  4. 4. Learning a Reactive Task Plan from Human Demonstrations : Building Behavior Trees using Learning from Demonstration and Planning Constraints

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Oscar Gustavsson; [2021]
    Keywords : Behavior Trees; Learning from Demonstration; Robotics; Robot learning; Human-robot interaction; Beteendeträd; Inlärning från Demonstrationer; Robotik; Robotinlärning; Människa- robotinteraktion;

    Abstract : Robot programming can be an expensive and tedious task and companies may have to employ dedicated staff. A promising framework that can alleviate some of the most repetitive tasks and potentially make robots more accessible to non-experts is Learning from Demonstration (LfD). READ MORE

  5. 5. Improving Dialogue Context and Repeatability in Human-Robot Interaction

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Andrej Wilczek; [2021]
    Keywords : Natural Language Processing; Natural Language Generation; Human-Robot Interaction; Context-based; Telepresence; Naturlig språkbehandling; Generering av naturligt språk; Människa-Robot- Interaktion; Kontextbaserad; Telepresence;

    Abstract : Natural Language Generation and generating believable verbal communication are critical components in the development of social robots. The work presented in this paper is based on the sequence-to-sequence model and is focused on improving context and repeatability through the inclusion of task- specific information. READ MORE