Daniel Nyga

Technical University of Munich, German Research Centre for Artificial Intelligence, University of Bremen

Papers

14

Total Citations

417

H-Index

9

About

No biography available yet.

Research Focus

Computer science14 · 417 citations
Artificial intelligence14 · 417 citations
Robot10 · 373 citations
Human–computer interaction8 · 322 citations
Programming language7 · 302 citations
Natural language processing9 · 288 citations
Task (project management)6 · 285 citations
Natural language9 · 284 citations
Knowledge representation and reasoning4 · 184 citations
Perception5 · 154 citations
Set (abstract data type)3 · 151 citations
Engineering4 · 133 citations

Key Achievements

9
H-Index
14
Papers
417
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Understanding and executing instructions for everyday manipulation tasks from the World Wide Web
131 citations · 2010
📈 Most Prolific Year: 2017 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Technical University of Munich, German Research Centre for Artificial Intelligence, University of Bremen

Top Papers

  1. 1
    Understanding and executing instructions for everyday manipulation tasks from the World Wide Web
    131 citations · 2010
  2. 2
    RoboSherlock: Unstructured information processing for robot perception
    87 citations · 2015
  3. 3
    Everything robots always wanted to know about housework (but were afraid to ask)
    47 citations · 2012
  4. 4
    Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge
    35 citations · 2018
  5. 5
    PR2 looking at things — Ensemble learning for unstructured information processing with Markov logic networks
    30 citations · 2014
  6. 6
    Towards robots conducting chemical experiments
    26 citations · 2015
  7. 7
    Cloud-Based Probabilistic Knowledge Services for Instruction Interpretation
    16 citations · 2017
  8. 8
    How-models of human reaching movements in the context of everyday manipulation activities
    11 citations · 2011
  9. 9
    Instruction completion through instance-based learning and semantic analogical reasoning
    9 citations · 2017
  10. 10
    What no robot has seen before — Probabilistic interpretation of natural-language object descriptions
    9 citations · 2017

Key Collaborators

MBMichael Beetz13 shared papersFBFerenc Bálint-Benczédi4 shared papersZMZoltán-Csaba Márton2 shared papersMPMareike Picklum2 shared papersMTMoritz Tenorth2 shared papersNBNico Blodow2 shared papersGLGheorghe Lisca1 shared papersTWThiemo Wiedemeyer1 shared papersDPDaehyung Park1 shared papersNRNicholas Roy1 shared papersMPMihai Pomarlan1 shared papersJWJan-Hendrik Worch1 shared papersSRSubhro Roy1 shared papersSKSebastian Koralewski1 shared papersRPRohan Paul1 shared papersPMPatrick Mania1 shared papersNHNicholas H. Kirk1 shared papersHLHagen Langer1 shared papers
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