Sökning: "Människa-Robot Samarbete"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Människa-Robot Samarbete.

1. 1. 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

3. 2. Lean automation med fokus på kollaborativa robotar : En studie på kollaborativa robotar i den svenska fordonsindustrin ur ett resurseffektivt perspektiv

   Magister-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Ninos Aslan; William Maximurad; [2023]
   Nyckelord :Lean automation; collaborative robots; human-robot collaboration; Swedish automotive industry; resource efficiency; Lean automation; kollaborativa robotar; människa-robot-samarbete; svenska fordonsindustrin; resurseffektivitet;

   Sammanfattning : I flera decennier har företag inom fordonsbranschen arbetat ihärdigt med att öka sin konkurrenskraft genom att automatisera produktionen. En frekvent använd strategi för att öka automationsgraden är att implementera traditionella industrirobotar. LÄS MER

4. 3. Safe Reinforcement Learning for Human-Robot Collaboration : Shielding of a Robotic Local Planner in an Autonomous Warehouse Scenario

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

   Författare :Lukas Vordemann; [2022]
   Nyckelord :Human-Robot Collaboration; Safe Reinforcement Learning; Shielding; Risk Management; Autonomous Warehouse; Människa-Robot Samarbete; Säker Förstärkningsinlärning; Avskärmning; Riskhantering; Autonomt Lager;

   Sammanfattning : Reinforcement Learning (RL) is popular to solve complex tasks in robotics, but using it in scenarios where humans collaborate closely with robots can lead to hazardous situations. In an autonomous warehouse, mobile robotic units share the workspace with human workers which can lead to collisions, because the positions of humans or non-static obstacles are not known by the robot. LÄS MER

5. 4. Explainable Reinforcement Learning for Risk Mitigation in Human-Robot Collaboration Scenarios

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

   Författare :Alessandro Iucci; [2021]
   Nyckelord :Explainable Reinforcement Learning; Human-Robot Collaboration; Risk Mitigation; Reward Decomposition; Autonomous Policy Explanation; Collaborative Robots; Förklarbar förstärkningslärande; Mänskligt-robot-samarbete; Riskreducering; Reward Decomposition; Autonomous Policy Explanation; Samarbetsrobotar;

   Sammanfattning : Reinforcement Learning (RL) algorithms are highly popular in the robotics field to solve complex problems, learn from dynamic environments and generate optimal outcomes. However, one of the main limitations of RL is the lack of model transparency. This includes the inability to provide explanations of why the output was generated. LÄS MER

7. 5. Human-robot Collaboration Focusing on Image Processing

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

   Författare :Xuetao Zhang; [2020]
   Nyckelord :;

   Sammanfattning : The future manufacturing industry calls for a new generation of production so-lutions with high efficiency and flexibility. Therefore, research towards Human-Robot Collaboration (HRC) has recently aroused much attention in the field ofmanufacturing as it provides the possibility for harmonizing the accuracy of arobot with the flexibility of a human. LÄS MER