ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.09979
  4. Cited By
Gaussian-Process-based Robot Learning from Demonstration

Gaussian-Process-based Robot Learning from Demonstration

23 February 2020
Miguel Arduengo
Adrià Colomé
J. Lobo-Prat
Luis Sentis
Carme Torras
ArXivPDFHTML

Papers citing "Gaussian-Process-based Robot Learning from Demonstration"

4 / 4 papers shown
Title
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
Jan Ole von Hartz
Adrian Rofer
Joschka Boedecker
Abhinav Valada
39
0
0
06 May 2025
Exploiting Information Theory for Intuitive Robot Programming of Manual Activities
Exploiting Information Theory for Intuitive Robot Programming of Manual Activities
Elena Merlo
Marta Lagomarsino
Edoardo Lamon
Arash Ajoudani
46
1
0
08 Jan 2025
Dynamic Movement Primitives in Robotics: A Tutorial Survey
Dynamic Movement Primitives in Robotics: A Tutorial Survey
Matteo Saveriano
Fares J. Abu-Dakka
Aljaz Kramberger
L. Peternel
40
163
0
07 Feb 2021
Variable impedance control and learning -- A review
Variable impedance control and learning -- A review
Fares J. Abu-Dakka
Matteo Saveriano
AI4CE
36
147
0
13 Oct 2020
1