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Honda (Germany)

Germany

18 papers here395 citations across 18
fields
  • cs.RO6
  • cs.LG3
  • cs.AI2
  • cs.CE2
  • cs.HC2
  • cs.CV1
  • cs.NI1
  • eess.SY1
ROR 022c1xk47OpenAlex

affiliations via OpenAlex

output
20192024
most citedReal-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning

176 citations

researchers with a paper here
  • Tim Puphal7
  • Julian Eggert2 profiles6
  • Malte Probst5
  • Benedict Flade4
  • Sebastian Schmitt2 profiles4
  • Chao Wang2 profiles3 · h 4
  • Daniel Tanneberg2
  • H. Wersing2 · h 28
  • Michael Gienger2
  • Stephan Hasler2
  • Yiyang Li2 profiles2
  • Andrea Castellani1 · h 5
collaborating institutions
  • Bielefeld UniversityDE3 papers
  • Honda (Japan)JP3 papers
  • Technische Universität DarmstadtDE3 papers
  • Eindhoven University of TechnologyNL1 paper
  • Marche Polytechnic UniversityIT1 paper
  • Palacký University OlomoucCZ1 paper
  • Technical University of Applied Sciences Würzburg-SchweinfurtDE1 paper
  • University of BremenDE1 paper
  • University of WaterlooCA1 paper
Showing cs.HCShow all

2 papers · 1 filter

cs.HC2023★ 24 cited

Explainable Human-Robot Training and Cooperation with Augmented Reality

Chao Wang, Anna Belardinelli, Stephan Hasler +3

The current spread of social and assistive robotics applications is increasingly highlighting the need for robots that can be easily taught and interacted with, even by users with…

cs.HC2021

Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundings

Chao Wang, Pengcheng An

Current research on Explainable AI (XAI) heavily targets on expert users (data scientists or AI developers). However, increasing importance has been argued for making AI more under…

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