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Motion Control (United States)

United States

7 papers here59 citations across 7
fields
  • cs.RO3
  • cs.LG1
  • eess.SY1
  • math.OC1
  • physics.flu-dyn1
ROR 03yjg6e54OpenAlex

affiliations via OpenAlex

output
20202025
most citedEfficient Path Planning in Narrow Passages for Robots with Ellipsoidal Components

52 citations

researchers with a paper here
  • Armand Jordana1 · h 6
  • Arthur Haffemayer1 · h 3
  • B. Anderson1 · h 97
  • Bert Huang1 · h 5
  • B. R. Noack1 · h 54
  • Chidubem Arachie1 · h 6
  • C. Laugier1 · h 50
  • D. S. González1 · h 4
  • G. Chirikjian1 · h 57
  • H. Ahn1 · h 45
  • Hongtao Wu1 · h 8
  • Hongwei Zhang1 · h 3
collaborating institutions
  • Australian National UniversityAU1 paper
  • Berkshire Hathaway (United States)US1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Commonwealth Scientific and Industrial Research OrganisationAU1 paper
  • Continental (France)FR1 paper
  • Département d'InformatiqueFR1 paper
  • École Nationale Supérieure de Techniques AvancéesFR1 paper
  • École Normale Supérieure - PSLFR1 paper
  • Epic Systems (United States)US1 paper
  • Google (United States)US1 paper
  • Gwangju Institute of Science and TechnologyKR1 paper
  • Hacettepe UniversityTR1 paper
Showing 2021 · cs.ROShow all

1 paper · 2 filters

cs.RO2021★ 52 cited

Efficient Path Planning in Narrow Passages for Robots with Ellipsoidal Components

Sipu Ruan, Karen L. Poblete, Hongtao Wu +2

Path planning has long been one of the major research areas in robotics, with PRM and RRT being two of the most effective classes of planners. Though generally very efficient, thes…

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