Haptic Intelligence Miscellaneous 2017

How Much Haptic Surface Data is Enough?

The Proton Pack is a portable visuo-haptic surface interaction recording device that will be used to collect a vast multimodal dataset, intended for robots to use as part of an approach to understanding the world around them. In order to collect a useful dataset, we want to pick a suitable interaction duration for each surface, noting the tradeoff between data collection resources and completeness of data. One interesting approach frames the data collection process as an online learning problem, building an incremental surface model and using that model to decide when there is enough data. Here we examine how to do such online surface modeling and when to stop collecting data, using kinetic friction as a first domain in which to apply online modeling.

Author(s): Alex Burka and Katherine J. Kuchenbecker
Year: 2017
Month: March
Project(s):
Bibtex Type: Miscellaneous (misc)
Address: Stanford, USA
Electronic Archiving: grant_archive
How Published: Workshop paper (5 pages) presented at the AAAI Spring Symposium on Interactive Multi-Sensory Object Perception for Embodied Agents
State: Published
URL: http://www.cs.utexas.edu/~jsinapov/AAAI-SSS-2017/paper/Burka_AAAI_SSS_2017.pdf

BibTex

@misc{Burka17-AAAIW-Data,
  title = {How Much Haptic Surface Data is Enough?},
  abstract = {The Proton Pack is a portable visuo-haptic surface interaction recording device that will be used to collect a vast multimodal dataset, intended for robots to use as part of an approach to understanding the world around them. In order to collect a useful dataset, we want to pick a suitable interaction duration for each surface, noting the tradeoff between data collection resources and completeness of data. One interesting approach frames the data collection process as an online learning problem, building an incremental surface model and using that model to decide when there is enough data. Here we examine how to do such online surface modeling and when to stop collecting data, using kinetic friction as a first domain in which to apply online modeling.},
  howpublished = {Workshop paper (5 pages) presented at the AAAI Spring Symposium on Interactive Multi-Sensory Object Perception for Embodied Agents},
  address = {Stanford, USA},
  month = mar,
  year = {2017},
  slug = {burka17-aaaiw-data},
  author = {Burka, Alex and Kuchenbecker, Katherine J.},
  url = {http://www.cs.utexas.edu/~jsinapov/AAAI-SSS-2017/paper/Burka_AAAI_SSS_2017.pdf},
  month_numeric = {3}
}