Sökning: "Robot behavior"
Visar resultat 1 - 5 av 88 uppsatser innehållade orden Robot behavior.
1. Intelligible dialogue manager for social robots : An AI dialogue robot solution based on Rasa open-source framework and Pepper robot
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : In the process of Human-Robot Interaction, improving the intelligibility of robots is crucial. Intelligibility refers to the degree to which humans can understand robot behavior and decision-making. When humans interact with low-intelligibility robots, it can lead to a series of problems, such as misunderstanding and trust issues. LÄS MER
2. Safe Reinforcement Learning for Social Human-Robot Interaction : Shielding for Appropriate Backchanneling Behavior
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Achieving appropriate and natural backchanneling behavior in social robots remains a challenge in Human-Robot Interaction (HRI). This thesis addresses this issue by utilizing methods from Safe Reinforcement Learning in particular shielding to improve social robot backchanneling behavior. LÄS MER
3. 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
4. Velocity Obstacle method adapted for Dynamic Window Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. 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