Sökning: "Robotstyrning"

Visar resultat 1 - 5 av 12 uppsatser innehållade ordet Robotstyrning.

1. 1. Tic-Tac-Toe Robot : Automated Tic-Tac-Toe Game With Robotic Control

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

   Författare :Emil Takman; Pontus Rastman; [2023]
   Nyckelord :Mechatronics; Robotic Arm; Color Recognition; Tic-Tac-Toe; Mekatronik; Robotarm; Färgigenkänning; Tre-i-rad;

   Sammanfattning : This thesis covers the design, construction and programming of an automated tic-tac-toe game with robotic control and image processing. Research shows that robotic systems, over time, have transitioned from manufacturing tools to service tools with a large focus on human interaction, a central aspect- of this project. LÄS MER

3. 2. 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

4. 3. Real-time object detection robotcontrol : Investigating the use of real time object detection on a Raspberry Pi for robot control

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

   Författare :Simon Ryberg; Jonathan Jansson; [2022]
   Nyckelord :Edge Device Raspberry Pi Image recognition Machine learning Tracked robot Track drive; Edge device Raspberry Pi Maskin inlärning Bandvagns robot Band drivlina Bildigenkänning;

   Sammanfattning : The field of autonomous robots have been explored more and more over the last decade. The combination of machine learning advances and increases in computational power have created possibilities to explore the usage of machine learning models on edge devices. LÄS MER

5. 4. 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

7. 5. Deep Reinforcement Learning for Building Control : A comparative study for applying Deep Reinforcement Learning to Building Energy Management

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

   Författare :Wanfu Zheng; [2022]
   Nyckelord :Deep Reinforcement Learning; Building Control; Building Energy Management; Optimization; Thermal Discomfort; Operational Cost; Deep Reinforcement Learning; byggnadskontroll; Building Energy Management; optimering; termiskt obehag; driftskostnader;

   Sammanfattning : Energy and environment have become hot topics in the world. The building sector accounts for a high proportion of energy consumption, with over one-third of energy use globally. A variety of optimization methods have been proposed for building energy management, which are mainly divided into two types: model-based and model-free. LÄS MER