[PDF] Teaching and Working with Robots as a Collaboration
Using joint intention theory as our theoretical frame-work, our approach integrates learning and collaboration through a goal based task structure. Specifically, we use col-laborative discourse with accompanying gestures and so-cial cues to teach a humanoid robot a structurally com-plex task. Having
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
Using joint intention theory as our theoretical frame-work, our approach integrates learning and collaboration through a goal based task structure. Specifically, we use col-laborative discourse with accompanying gestures and so-cial cues to teach a humanoid robot a structurally com-plex task. Having learned the representation for the task, the robot then performs it shoulder-to-shoulder with a hu-man partner, using social communication acts to dynami-cally mesh its plans with those of its partner
Common questions
What will I learn in [PDF] Teaching and Working with Robots as a Collaboration?
Using joint intention theory as our theoretical frame-work, our approach integrates learning and collaboration through a goal based task structure. Specifically, we use col-laborative discourse with accompanying gestures and so-cial cues to teach a humanoid robot a structurally co
Is [PDF] Teaching and Working with Robots as a Collaboration free?
HumanoidHub has not verified public pricing for this guide. Open MIT OpenCourseWare for the current access terms before enrolling.
Do I need any prerequisites?
Recommended prep: Basic Python familiarity; Comfort with algebra or calculus basics; Interest in robotics systems.
How long does it take?
Self-paced (provider defined). Most learners complete this guide in self-directed sessions over a few weeks.
Does it offer a certificate?
This guide does not include a formal certificate. Focus is on the learning material itself.
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[PDF] Humanoid Robots as Cooperative Partners for People
guide the search by providing timely feedback, luring the learner to perform desired behaviors, controlling the environment so the appropriate cues are easy to attend to, etc. Our architecture supports the construction of collaborative learners that are easy and rewarding to teach using techniques t
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