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Socially assistive robotics: helping through social interaction - PowerPoint PPT Presentation

Belin inda da Ward Project Manager Humanoid Robotics Social Robots whats out there, whats coming What theyre good at now and not so good at Socially assistive robotics: helping through social interaction


  1. Belin inda da Ward Project Manager – Humanoid Robotics • Social Robots • what’s out there, what’s coming • What they’re good at now • and not so good at • Socially assistive robotics: helping through social interaction • How can they be useful in healthcare? • Social robots - what’s “easy” • and what isn’t • Lessons for practical deployments

  2. Masayoshi Son Softbank Founder and CEO Information Revolution – Happiness for Everyone

  3. ST Solutions Australia

  4. Social robots are coming… ASIMO ROBOTHESPIAN HUBO ROMEO NINEBOT HOVIS MIIM OP2 TAPIA AIDO NAO ZENBO SANBOT iCUB

  5. But what can they do? BAXTER PR2 REEM (CHIP) JACO PIONEER MANIPULATOR TIAGO

  6. Beyond Entertainment / Novelty Socially assistive robotics Helping through social interaction, rather than physical action • Monitoring • Coaching / training • Motivation • Companionship

  7. Scenario 1: • Pepper responds to frequently asked questions • Will people in a public hospital be comfortable interacting with a robot?

  8. Scenario 2: • Pepper surveys knowledge and attitudes about the flu virus and vaccinations. • Can Pepper be effective at delivering public health information?

  9. Pepper – Skills and experience Already good at More difficult • • Attracting attention Navigation • Recognising people • Understanding environment • Tracking faces • Learning about an unknown • Understanding human environment speech* • Scripted conversation • Understanding human movement • Understanding human behaviour • Movement • Contextual (situational) conversation

  10. Skil ills ls for or so socia ial l rob obot ots Text to speech Question - Answer Contextual dialogue Free-form dialogue Scripted interactions Understanding Constrained speech recognition emotions Facial recognition Understanding intent One-on-one interactions Multi-party conversation Easy Hard doors stairs daylight Moving Semantic Building a map Avoiding static obstacles understanding Navigating known Updating a map environment Learning Manipulation Object recognition Grasping

  11. A word of caution

  12. Lessons from the field • Technology champion on the ground is critical • You also need champions in high places • expectation management is important • Your wifi will cause you headaches • make friends with your IT providers • IT security will be paranoid • Keep it simple and secure • Everyone will be paranoid • Their worst fears are unfounded • Privacy fears • Lessons for practical deployments

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