Sökning: "humanoid robots"
Visar resultat 6 - 10 av 31 uppsatser innehållade orden humanoid robots.
6. ZERROR : Provoking ethical discussions of humanoid robots through speculative animation
Magister-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)Sammanfattning : Robotics engineers' ongoing quest to create human-like robots has raised profound questions on their lack of ethical implications. The rapid progress and growth of humanoid robots is said to have a significant impact on society and human psychology in the near future. LÄS MER
7. A pondering robot : How gestures can indicate loading in robots
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Waiting while computers and websites process and load information is a common occurrence and research shows that loading indicators can be used to elevate the user experience. Research on loading time for humanoid robots has so far mainly focused on the effects of auditory processing indicators or auditory processing indicators in combination with bodily gestures. LÄS MER
8. Robotic Hand Controlled by Glove Using Wireless Communication
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The interest in the research and development of humanoid robots has been steadily growing in recent years. The application of such robotic systems are many and wide. In this bachelor’s thesis in mechatronics one such robotic system was built in the form of a hand. LÄS MER
9. Re-target Human Gesticulation to a Humanoid Robot NAO
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Gesticulation is important in human communication. Humanoid robots should mimic the human gesticulation to have a good conversation with a human. However, in traditional systems that produce robot motions, human pre-define the motion frame by frame for the robot which requires a lot of labor. LÄS MER
10. Scoring functions evaluation for active learning in humanoid robotics
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Object detection is an essential ability for humanoid robots. State-of-the art deep learning models for object detection reached remarkable results on general-purpose datasets. However, these methods are typically based on the supervised learning framework, requiring large amounts of data and long computational time to be trained. LÄS MER
