Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: HapticBots: Distributed Encountered-type Haptics for VR with Multiple
  Shape-changing Mobile Robots   HapticBots introduces a novel encountered-type haptic approach for Virtual
Reality (VR) based on multiple tabletop-size shape-changing robots. These
robots move on a tabletop and change their height and orientation to haptically
render various surfaces and objects on-demand. Compared to previous
encountered-type haptic approaches like shape displays or robotic arms, our
proposed approach has an advantage in deployability, scalability, and
generalizability -- these robots can be easily deployed due to their compact
form factor. They can support multiple concurrent touch points in a large area
thanks to the distributed nature of the robots. We propose and evaluate a novel
set of interactions enabled by these robots which include: 1) rendering haptics
for VR objects by providing just-in-time touch-points on the user's hand, 2)
simulating continuous surfaces with the concurrent height and position change,
and 3) enabling the user to pick up and move VR objects through graspable proxy
objects. Finally, we demonstrate HapticBots with various applications,
including remote collaboration, education and training, design and 3D modeling,
and gaming and entertainment.

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The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
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The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-bio
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The categories of this paper are: hep-ph
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The categories of this paper are: funct-an
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The categories of this paper are: comp-gas
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The categories of this paper are: supr-con
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The categories of this paper are: adap-org