Sökning: "Mänskligt-Robot-Samarbete"

Hittade 2 uppsatser innehållade ordet Mänskligt-Robot-Samarbete.

1. 1. 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

3. 2. Distributed Intelligence for Multi-Robot Environment : Model Compression for Mobile Devices with Constrained Computing Resources

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

   Författare :Timotheos Souroulla; [2021]
   Nyckelord :Human-Robot-Collaboration HRC ; Model Compression; Pruning; Knowledge Distillation; Object Detection; Mänskligt-Robot-Samarbete; Modellkomprimering; Beskärning; Kunskapsdestillation; Objektavkänning;

   Sammanfattning : Human-Robot Collaboration (HRC), where both humans and robots work in the same environment simultaneously, is an emerging field and has increased massively during the past decade. For this collaboration to be feasible and safe, robots need to perform a proper safety analysis to avoid hazardous situations. LÄS MER