Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mathematical Models of Adaptation in Human-Robot Collaboration   A robot operating in isolation needs to reason over the uncertainty in its
model of the world and adapt its own actions to account for this uncertainty.
Similarly, a robot interacting with people needs to reason over its uncertainty
over the human internal state, as well as over how this state may change, as
humans adapt to the robot. This paper summarizes our own work in this area,
which depicts the different ways that probabilistic planning and game-theoretic
algorithms can enable such reasoning in robotic systems that collaborate with
people. We start with a general formulation of the problem as a two-player game
with incomplete information. We then articulate the different assumptions
within this general formulation, and we explain how these lead to exciting and
diverse robot behaviors in real-time interactions with actual human subjects,
in a variety of manufacturing, personal robotics and assistive care settings.

2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph