Sökning: "Industriell robotik"
Visar resultat 1 - 5 av 30 uppsatser innehållade orden Industriell robotik.
1. Robotic Automation of Mechanical Verification
Master-uppsats, KTH/Integrerad produktutveckling och designSammanfattning : This master thesis explores the implementation of Collaborative robots into Elekta's mechanical product verification process. Elekta is a pioneer in precision radiation therapy solutions. Ensuring the compliance of Elekta's products with performance, safety, and quality criteria is of great importance. LÄS MER
2. Reaction Wheel Control System for a Self-balancing Bike : Reaction wheel based control mechanism for a small scale prototype bike
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : In this thesis, the design of a self balancing prototype bike with a reaction wheel as balancing mechanism will be investigated. Bikes are inherently unstable systems, that dynamically resemble an inverted pendulum at a stand still. LÄS MER
3. Statically stable walking robot : Gait pattern generation for a quadruped using PID control
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This report is a bachelor thesis in Mechatronics at KTH. The purpose of the thesis is to design a statically stable walking robot capable of forward movement. A quadrupedal robot is designed, as well as a PID control system. To easily control the legs with sufficient accuracy servo motors are used. LÄS MER
4. Dynamic Modelling of a Fluidic Muscle with a Comparison of Hysteresis Approaches
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : 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. LÄS MER
5. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation
Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : 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. LÄS MER