Essays about: "Robotik"
Showing result 16 - 20 of 159 essays containing the word Robotik.
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16. Improving Behavior Trees that Use Reinforcement Learning with Control Barrier Functions : Modular, Learned, and Converging Control through Constraining a Learning Agent to Uphold Previously Achieved Sub Goals
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis investigates combining learning action nodes in behavior trees with control barrier functions based on the extended active constraint conditions of the nodes and whether the approach improves the performance, in terms of training time and policy quality, compared to a purely learning-based approach. Behavior trees combine several behaviors, called action nodes, into one behavior by switching between them based on the current state. READ MORE
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17. Dynamic Modelling of a Fluidic Muscle with a Comparison of Hysteresis Approaches
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : n recent years, there has been a surge in interest and research into the utilisation of soft actuators within the field of robotics, driven by the novel capabilities of their inherently compliant material. One such actuator is the Pneumatic Artificial Muscle (PAM) which offers a high power-to-mass ratio, compliance, safety, and biological mimicry when compared to their traditional counterparts. READ MORE
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18. Underneath the Surface : Threat modeling and penetration testing of a submarine robot
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Connected devices have become an integral part of life in modern society. In the industry, several tasks have been automatized and are now performed by robots, a development that is called Industry 4.0. READ MORE
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19. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Deep generative modeling refers to the process of constructing a model, parameterized by a deep neural network, that learns the underlying patterns and structures of the data generating process which produced the samples in a given dataset, in order to generate novel samples that resemble those in the original dataset. Deep generative models for 3D shape generation hold significant importance to various fields including robotics, medical imaging, manufacturing, computer animation and more. READ MORE
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20. E.G.O : Electronic Grip Overloader
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Humans use their hands on a daily basis, and they are a fundamental part of our lives both in terms of our work and our everyday activities. One of the key things that our hands allow us to do is grab onto objects. READ MORE
