Sökning: "robot optimization"
Visar resultat 1 - 5 av 88 uppsatser innehållade orden robot optimization.
1. A case study of disjunctive programming: Determining optimal motion trajectories for a vehicle by mixed-integer optimization
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : This report considers an application of mixed-integer disjunctive programming (MIDP)where a theoretical robot can jump from one point to another and where the number ofjumps is to be minimized. The robot is only able to jump to the north, south, east andwest. LÄS MER
2. Optimal Gait Control of Soft Quadruped Robot by Model-based Reinforcement Learning
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : 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. LÄS MER
3. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks
Master-uppsats, Lunds universitet/Fysiska institutionenSammanfattning : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. LÄS MER
4. User experience design to support users in making sustainable decisions in the context of industrial robot operating software
Master-uppsats, Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Tekniska fakultetenSammanfattning : This thesis demonstrates a Research through Design process for creating user experience design to support users in making sustainable decisions. The research and design were carried out in the context of industrial robot operating software, using ABB's RobotStudio as the design basis. LÄS MER
5. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER