A companion robot for daily care of elders based on homeostasis
| Autor: | Shih-Huan Tseng, Chiao-Yu Yang, Ming-Jen Lu, Li-Chen Fu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
020203 distributed computing
Engineering Service (systems architecture) Personal robot business.industry media_common.quotation_subject 02 engineering and technology Robot learning Human–computer interaction Hybrid system 0202 electrical engineering electronic engineering information engineering Reinforcement learning Robot 020201 artificial intelligence & image processing Conversation Artificial intelligence business Companion robot media_common |
| Zdroj: | 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE). |
| DOI: | 10.23919/sice.2017.8105748 |
| Popis: | This paper presents a hybrid system of applying homeostatic drives theory and stimuli from environment or human on a robot, aiming to solve the increasing need of elder caring in modern aging society. Through reinforcement learning with human feedback, the robot is enabled to make appropriate decisions by reviewing its own motivation, environment stimuli and human inputs, allowing the robot to finish vague tasks, i.e. to serve, help or have a conversation with human on different situations. In our experiment, the human satisfaction rate could reach 94% and the robot could as well maintain a stable condition to perform long-term service. If the robot is to be deployed in a nursing home, it can further serve and meet the requirements of elders, while simultaneously maintaining its own system, such as battery level, in regular daily lives. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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