Titel: 3rd Workshop on Proximity Perception in Robotics, IROS 2020

In its 3rd edition, this workshop aims at exploring and showing the potential that proximity perception has for cognitive robotics. Active proximity perception has great potential for Human-Robot Interaction (HRI) as well as for modeling objects and the environment in a multi-modal context. Proximity perception is complementary to vision and touch and today the technology is mature enough to be deployed alongside cameras and tactile sensors. For example, many researchers have already successfully addressed the challenge of multi-modal skins that include tactile and proximity perception. However, not much research has been directed towards active perception and sensor fusion that includes the proximity modality. To address this, in this workshop we feature experts from multi-modal HRI and visio-haptic perception as well as from the industry, who will foster the discussion with their experience in these domains. At the same time, we expect that their contributions will inspire multi-modal cognitive approaches for proximity perception. Furthermore, we will feature a demo-session that will anchor these ideas to concrete hardware, already available today from both research and industry participants.

  • Foster the community of roboticists and hardware developers working in this domain
  • Let experts in multi-modal perception and HRI give an account of their experience, to help
  • motivate novel cognitive approaches for proximity perception in robotics.
  • Continue to bridge to industry via invited industrial talks and demos
  • Offer PhD-students a forum for their work through short talks, posters and demos
  • Foster scientific collaborations between the participants of the workshop
Schlagworte: Proximity Perception, Robotics, Sensors
Kurztitel: Proper
Ort: IROS on Demand
Staat: Vereinigte St. v. Amerika
Zeitraum: 25.10.2020 - 25.11.2020
Veranstaltungsstatus: stattgefunden (online)



Förderungstyp Sonstiger
  • Workshop
  • 202035 - Robotik
  • 202036 - Sensorik
  • Selbstorganisierende Systeme
  • Überwiegend international
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
  • Sensor- und Aktortechnik


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