1. HRI A1 (Sukhatme) Monica Nicolescu, Benjamin Kuipers, Cynthia Breazeal, Jennifer Burke, Jana Kosecka, Vladimir Kulyukin, Brian Scassellati, Shri Narayanan, Holly Yanco, Gaurav Sukhatme

2. Define HRI Meta-thoughts: Difficult to define, accumulate definitions as we go?, do a goal-oriented definition? Keywords and attributes: teleoperation is old, is it subsumed by HRI ? HRI originally meant teleop, now the definition has changed. Definition is shifting like the very notion of robot. Teleoperation and virtual humans are both degenerate cases of modern HRI. Sliding autonomy generalizes pure teleoperation. The type of interface matters. How it is different from HCI? – HCI focuses on ‘low’ level issues, interaction with physical world is minimal, to qualify as a robot there must be physical embodiment (situated and embodied) Goal-oriented : development of computational models, and algorithms NSF sponsored grad student WS produced the following definition: what you need to about humans, and what you need to know about robots for them to be useful to each other How we deal with and respond to robots is not understood – reflects the fact that the boundaries between HRI, HCI, and other fields is evolving and not clearly understood.

3. Identify and Define Scope of Research Areas in HRI Meta discussion: –Where were five years ago ? The debate then was whether HRI was a valid field to be working on. –Should we list the survey topics since people only added two new problems/areas to the original survey ? –Where do we want to be in five years ? Articulate that and work backwards. –In any HRI investigation a natural set of axes along which to taxonomize: Methods: characterize how human interact with data Techniques: Evaluation metrics Questions –How do robots technologies interact with naïve users –How to HRI problems provide context for techniques from other areas (give the vision community their marching orders) –HRI is the ‘route to AI’: explainability (why is the robot doing what its doing), trust, and sliding scale autonomy are all key parts of this –How can one design a robot to collaborate with a human to achieve goal(s) – the degenerate end is teleoperation –How does interacting with a robot affect a human being? Can we sculpt the interaction so we get the desired effect? –What is the emotional component of the interaction between humans and robots (and how does it affect task accomplishment)? –How does a robot learn by interacting and observing interactions (social learning in the broadest sense, switching between distinct learning modes –When is it socially and morally acceptable to do some of these things (specifically the three things before this one)?

4. Emerging and Important Areas Understanding people (goals, intentions, mental states) Long term interactions with robots

5. Any other questions Set of research platforms that run for extended periods of time, reliably Sharing (code and platforms) Relationship between knowledge representation that robot has, and the languages it can support How well does a robot have to perceive the world to be effective? How to acquire representation (particularly for social learning)?