---
res:
  bibo_abstract:
  - "This position paper calls for an increase in the\r\nnumber and flexibility of
    input mechanisms in user-robot in-\r\nteractions, highlighting their potential
    to enhance learning algo-\r\nrithms through user feedback. Moreover, we argue
    that refining\r\ninterfaces, interactions, and systems is crucial for the optimal\r\nintegration
    of mechanisms into learning processes. Our call\r\nto research involves the development
    of interfaces that enable\r\nflexible mechanisms, and the mechanisms interactions
    can benefit\r\nmost from, and the algorithmic incorporation of user input. This\r\naims
    to advance the adaptability and responsiveness of robotic\r\nsystems in human-centric
    environments@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Helen
      foaf_name: Beierling, Helen
      foaf_surname: Beierling
  - foaf_Person:
      foaf_givenName: Kira
      foaf_name: Loos, Kira
      foaf_surname: Loos
  - foaf_Person:
      foaf_givenName: Robin
      foaf_name: Helmert, Robin
      foaf_surname: Helmert
  - foaf_Person:
      foaf_givenName: Anna-Lisa
      foaf_name: Vollmer, Anna-Lisa
      foaf_surname: Vollmer
  dct_date: 2024^xs_gYear
  dct_language: eng
  dct_publisher: Proc. Mech. Mapping Hum. Input Robots Robot Learn. Shared Control/Autonomy-Workshop
    RSS@
  dct_title: 'Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms@'
...