Sökning: "robotar människa"

Visar resultat 1 - 5 av 63 uppsatser innehållade orden robotar människa.

1. 1. Robotic Automation of Mechanical Verification

   Master-uppsats, KTH/Integrerad produktutveckling och design

   Författare :Sofie Gårdestam; Amalia Kronér; [2024]
   Nyckelord :;

   Sammanfattning : This master thesis explores the implementation of Collaborative robots into Elekta's mechanical product verification process. Elekta is a pioneer in precision radiation therapy solutions. Ensuring the compliance of Elekta's products with performance, safety, and quality criteria is of great importance. LÄS MER

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

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mohamed Akif; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

4. 3. Deep Learning-Driven EEG Classification in Human-Robot Collaboration

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yuan Wo; [2023]
   Nyckelord :Human-robot collaboration; Electroencephalogram signal; Signal Processing Feature Extraction; Deep Learning method; Dilated Convolutional Neural Network; Människa-robot-samarbete; Elektroencefalogram-signal; Signalförädlingsfunktionsutvinning; Djupinlärningsmetod; Dilaterat konvolutionellt neuronnätverk.;

   Sammanfattning : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. LÄS MER

5. 4. A Deep Learning approach to Analysing Multimodal User Feedback during Adaptive Robot-Human Presentations : A comparative study of state-of-the-art Deep Learning architectures against high performing Machine Learning approaches

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Manuel Fraile Rodríguez; [2023]
   Nyckelord :Human Feedback; Deep Learning; Convolutional Neural Networks; Transformers; Mänsklig återmatning; mänsklig feedback; djupinlärning; CNN; transformer;

   Sammanfattning : When two human beings engage in a conversation, feedback is generally present since it helps in modulating and guiding the conversation for the involved parties. When a robotic agent engages in a conversation with a human, the robot is not capable of understanding the feedback given by the human as other humans would. LÄS MER

7. 5. Multi-robot coordination and planning with human-in-the-loop under STL specifications : Centralized and distributed frameworks

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yixiao Zhang; [2023]
   Nyckelord :Multi-agent systems; Human-in-the-loop systems; Signal temporal logic; Cooperative control; ROS Implementation; Multi-agent-system; Människa-i-loop-system; Signaltemporallogik; Samarbetande styrning; ROS-implementering;

   Sammanfattning : Recent urbanization and industrialization have brought tremendous pressure and challenges to modern autonomous systems. When considering multiple complex tasks, cooperation and coordination between multiple agents can improve efficiency in a system. LÄS MER