Fereshteh Sadeghi

Google DeepMind (United Kingdom), Seattle University, University of Washington, University College London

Papers

10

Total Citations

560

H-Index

7

About

No biography available yet.

Research Focus

Computer science10 · 560 citations
Artificial intelligence10 · 560 citations
Robot9 · 419 citations
Computer vision5 · 340 citations
Simulation3 · 294 citations
Reinforcement learning3 · 294 citations
Engineering6 · 264 citations
Human–computer interaction5 · 222 citations
Mathematics5 · 201 citations
Robotics3 · 197 citations
Ball (mathematics)2 · 190 citations
Rendering (computer graphics)2 · 184 citations

Key Achievements

7
H-Index
10
Papers
560
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
Learning agile soccer skills for a bipedal robot with deep reinforcement learning
147 citations · 2024
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 52
🏛 Institutions: Google DeepMind (United Kingdom), Seattle University, University of Washington, University College London

Top Papers

  1. 1
    Learning agile soccer skills for a bipedal robot with deep reinforcement learning
    147 citations · 2024
  2. 2
    CAD2RL: Real Single-Image Flight Without a Single Real Image
    141 citations · 2017
  3. 3
    Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control
    108 citations · 2018
  4. 4
    MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research
    45 citations · 2019
  5. 5
    Sim2Real View Invariant Visual Servoing by Recurrent Control
    44 citations · 2017
  6. 6
    NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields
    43 citations · 2023
  7. 7
    Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
    20 citations · 2022
  8. 8
    Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
    6 citations · 2023
  9. 9
    DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching
    4 citations · 2019
  10. 10
    Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
    2 citations · 2021

Key Collaborators

NHNicolas Heess5 shared papersLHLeonard Hasenclever5 shared papersMWMarkus Wulfmeier4 shared papersJHJan Humplik4 shared papersRHRaia Hadsell4 shared papersTHTuomas Haarnoja4 shared papersFCFederico Casarini3 shared papersABArunkumar Byravan3 shared papersSTSaran Tunyasuvunakool3 shared papersYTYuval Tassa3 shared papersAHAndrea Huber3 shared papersNBNathan Batchelor3 shared papersRHRoland Hafner3 shared papersDTDhruva Tirumala3 shared papersSLSergey Levine3 shared papersFNFrancesco Nori3 shared papersNSNoah Siegel3 shared papersMBMichael Bloesch2 shared papersGLGuy Lever2 shared papersBMBen Moran2 shared papers
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