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Jan Peters

Intelligent Autonomous Systems Group, Technische Universität Darmstadt, Darmstadt, Germany

123 papers hereh-index 8635.5k citations611 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author40
  • last author82

Across the 122 of 123 papers where every author was matched, so the position is known.

fields
  • cs.RO60
  • cs.LG42
  • eess.SY6
  • stat.ML6
  • cs.AI4
  • cs.NE2
affiliations
  • Intelligent Autonomous Systems Group, Technische Universität Darmstadt, Darmstadt, Germany
  • Max Planck Institute for Biological Cybernetics
  • Max Planck Institute for Intelligent Systems
  • Technische Universität Darmstadt
  • University of Southern California
Homepage
same name
  • Jan Peters — 24 papers, h 14
  • Jan Peters — 18 papers, h 6
  • Jan Peters — 15 papers, h 6
  • Jan Peters — 15 papers, h 2
  • Jan Peters — 13 papers, h 3
  • Jan Peters — 11 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112023
most citedAn Algorithmic Perspective on Imitation Learning

382 citations · 1.2k across the 106 of their papers we have counts for

collaborators
Showing 2015Show all

2 papers · 1 filter

cs.RO2015★ 8 cited

Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations

Elmar Rueckert, Rudolf Lioutikov, Roberto Calandra +3

Sensor gloves are popular input devices for a large variety of applications including health monitoring, control of music instruments, learning sign language, dexterous computer in…

cs.RO2015★ 6 cited

Towards engagement models that consider individual factors in HRI: on the relation of extroversion and negative attitude towards robots to gaze and speech during a human-robot assembly task

Serena Ivaldi, Sebastien Lefort, Jan Peters +3

Estimating the engagement is critical for human - robot interaction. Engagement measures typically rely on the dynamics of the social signals exchanged by the partners, especially…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.