Essays about: "training control"

Showing result 16 - 20 of 403 essays containing the words training control.

1. 16. Optimal Gait Control of Soft Quadruped Robot by Model-based Reinforcement Learning

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Niu Xuezhi; [2023]
   Keywords : Quadruped Robots; Soft Robotics; Reinforcement Learning; Gait Control; Model-Based Control Optimization; Kvadrupedroboter; Mjukrobotik; Förstärkningsinlärning; Gångkontroll; Optimering av robotkontroll;

   Abstract : Quadruped robots offer distinct advantages in navigating challenging terrains due to their flexible and shock-absorbing characteristics. This flexibility allows them to adapt to uneven surfaces, enhancing their maneuverability. READ MORE

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

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yuan Wo; [2023]
   Keywords : 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.;

   Abstract : 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. READ MORE

4. 18. Enhancing video game experience with playtime training and tailoring of virtual opponents : Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment

   University essay from

   Author : Nishant Pillai; Roberto Giaconia; [2023]
   Keywords : ;

   Abstract : When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways. The vast majority of AIs for such fictional characters, that control their actions, are statically scripted, and expert players can learn strategies that take advantage of this to easily win challenges that were intended to be hard. READ MORE

5. 19. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience

   University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

   Author : Emil Högstedt; Ove Ødegård; [2023]
   Keywords : Neural Network; Modularization; Sensor; Reinforcement Learning; Supervised Learning; Neuralt Nätverk; Modulärisering; Sensor; Förstärkningsinlärning; Väglett Lärande;

   Abstract : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. READ MORE

6. 20. Predicting room occupancy based on carbon dioxide concentration levels : And potential energy-saving use cases in HVAC (heating, ventilation and air conditioning) control systems.

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Elias Eliasson Schuhmacher; Markus Ledung; [2023]
   Keywords : ;

   Abstract : This thesis aims to explore the possibilities of recording room occupancy based on measured CO2 (carbon dioxide) concentration levels, and potential energy-saving uses in HVAC (heating, ventilation and air conditioning) - control systems. Furthermore, this thesis specifically aims to use unsupervised machine learning methods, which removes the need for generating correct occupancy labels and training the models before deploying them. READ MORE