[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?
Yes — this guide is free to access through MIT OpenCourseWare. Some providers may offer paid certificates separately.
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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AgiBot G2
AgiBot
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