Essays about: "Fjärrstyrning"
Showing result 6 - 10 of 30 essays containing the word Fjärrstyrning.
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6. Model-based Residual Policy Learning for Sample Efficient Mobile Network Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning is a powerful tool which enables an agent to learn how to control complex systems. However, during the early phases of training, the performance is often poor. READ MORE
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7. Wireless Model-Controlled Robotic Arm via IoT : Controlling a robotic arm with a model arm via the Internet of Things
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : As the Internet of Things (IoT) is revolutionising and digitalising industry and the need for remote connectivity is increasing, there is an opportunity for new solutions for remotely controlled industrial equipment. One possible way of controlling industrial robot arms is by using a universal model arm input device of a different scale. READ MORE
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8. Unauthorized Smart Lock Access : Ethical Hacking of Smart Lock Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : IoT devices have become more common in our everyday lives as they provide more useful features than traditional devices. One such device is the smart door lock, which enables homeowners to grant access on a user-specified level through digital keys and remote operation. READ MORE
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9. RC-TMV : Remote Controlled Tracked Multipurpose Vehicle
University essay from KTH/MekatronikAbstract : This project seeks to design and construct a track-driven radio controlled vehicle and controller. The purpose is to research if radio can be effectively used to control the robot remotely, as well as research to what extent a tracked design increases the mobility when compared to a wheel-design. READ MORE
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10. Bayesian Off-policy Sim-to-Real Transfer for Antenna Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Choosing the correct angle of electrical tilt in a radio base station is essential when optimizing for coverage and capacity. A reinforcement learning agent can be trained to make this choice. If the training of the agent in the real world is restricted or even impossible, alternative methods can be used. READ MORE