Advanced search
Showing result 1 - 5 of 22 essays matching the above criteria.
-
1. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks
University essay from Lunds universitet/Fysiska institutionenAbstract : 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. READ MORE
-
2. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 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. READ MORE
-
3. The impact of an anthropomorphic robot’s facial expressions on L2 learning outcomes and motivation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In a regular classroom setting, a more emotionally expressive teacher has been shown to be positively correlated with learning outcomes and task motivation among the students. Would this also be the case if the teacher were a robot? This study investigates how the facial expressions of an anthropomorphic robot affect learning outcomes and task motivation in adult learners studying a second language by setting up an experiment using the Furhat robot. READ MORE
-
4. FPGA Implementation of Feature Matching in ORB-SLAM2
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Simultaneous Localization And Mapping (SLAM) is an important component in solving the problem of autonomous navigation — allowing machines such as selfdriving cars and mobile robots to find their way in the world without human instruction. Though there is a steadily growing body of literature in the field of SLAM, far fewer works currently address using hardware acceleration to speed up this computationally heavy task. READ MORE
-
5. Network Slicing to Enhance Edge Computing for Automated Warehouse
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In a previous work, a distributed safety framework supported by edge computing was developed to enable real-time response of robots that collaborate with humans in the Human-Robot Collaboration (HRC) scenario. However, as the number of robots in the automated warehouse increases, the network is easier to induce the congestion. READ MORE