Sökning: "Människa-Robot Interaktion"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Människa-Robot Interaktion.
1. 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
2. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER
3. AntiKli-MAX 5000 : A robotic head massager with an implemented distance sensor
Magister-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Robots are increasingly being used in personal households for service-related tasks such as floor cleaning, lawn mowing or entertainment. However, there is still a lack of household robots performing tactile service-related tasks that requires human-robot interaction. LÄS MER
4. Believable and Manipulable Facial Behaviour in a Robotic Platform using Normalizing Flows
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Implicit communication is important in interaction because it plays a role in conveying the internal mental states of an individual. For example, emotional expressions that are shown through unintended facial gestures can communicate underlying affective states. LÄS MER
5. Semantic UFOMap : Semantic Information in Octree Occupancy Maps
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Many autonomous robots operating in unknown and unstructured environments rely on building a dense 3D map of it during exploration. What tasks the robot can perform depends on the information stored in this map. LÄS MER