That and There: Judging the Intent of Pointing Actions with Robotic Arms
| Autor: | Chaitanya Mitash, Baber Khalid, Malihe Alikhani, Kostas E. Bekris, Matthew Stone, Rahul Shome |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
0209 industrial biotechnology Computer Science - Artificial Intelligence Computer science Computer Vision and Pattern Recognition (cs.CV) Collaborative robotics Computer Science - Computer Vision and Pattern Recognition Computer Science - Human-Computer Interaction Flexibility (personality) Context (language use) 02 engineering and technology General Medicine Variation (game tree) Human-Computer Interaction (cs.HC) Task (project management) Computer Science - Robotics Artificial Intelligence (cs.AI) 020901 industrial engineering & automation Human–computer interaction 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Set (psychology) Robotics (cs.RO) Robotic arm |
| Zdroj: | AAAI |
| ISSN: | 2374-3468 2159-5399 |
| DOI: | 10.1609/aaai.v34i06.6601 |
| Popis: | Collaborative robotics requires effective communication between a robot and a human partner. This work proposes a set of interpretive principles for how a robotic arm can use pointing actions to communicate task information to people by extending existing models from the related literature. These principles are evaluated through studies where English-speaking human subjects view animations of simulated robots instructing pick-and-place tasks. The evaluation distinguishes two classes of pointing actions that arise in pick-and-place tasks: referential pointing (identifying objects) and locating pointing (identifying locations). The study indicates that human subjects show greater flexibility in interpreting the intent of referential pointing compared to locating pointing, which needs to be more deliberate. The results also demonstrate the effects of variation in the environment and task context on the interpretation of pointing. Our corpus, experiments and design principles advance models of context, common sense reasoning and communication in embodied communication. Comment: Accepted to AAAI 2020, New York City |
| Databáze: | OpenAIRE |
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