Yevgen Chebotar

Google (United States), University of Southern California, Technische Universität Darmstadt, Nvidia (United States), Google DeepMind (United Kingdom)

Papers

28

Total Citations

3,312

H-Index

17

About

No biography available yet.

Research Focus

Computer science28 · 3,312 citations
Artificial intelligence27 · 3,297 citations
Robot18 · 2,929 citations
Human–computer interaction11 · 2,157 citations
Engineering13 · 1,585 citations
Natural language processing3 · 1,133 citations
Machine learning15 · 1,066 citations
Reinforcement learning13 · 1,001 citations
Computer vision7 · 998 citations
Robotics4 · 925 citations
Natural language2 · 783 citations
Task (project management)8 · 775 citations

Key Achievements

17
H-Index
28
Papers
3,312
Total Citations
118
Avg Citations/Paper
🏆 Most Cited Paper
Time-Contrastive Networks: Self-Supervised Learning from Video
555 citations · 2018
📈 Most Prolific Year: 2023 (6 Papers)
🤝 Key Collaborators: 167
🏛 Institutions: Google (United States), University of Southern California, Technische Universität Darmstadt, Nvidia (United States), Google DeepMind (United Kingdom)

Top Papers

  1. 1
    Time-Contrastive Networks: Self-Supervised Learning from Video
    555 citations · 2018
  2. 2
    Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
    516 citations · 2022
  3. 3
    RT-1: Robotics Transformer for Real-World Control at Scale
    512 citations · 2023
  4. 4
    PaLM-E: An Embodied Multimodal Language Model
    350 citations · 2023
  5. 5
    RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
    267 citations · 2023
  6. 6
    Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor
    215 citations · 2015
  7. 7
    Inner Monologue: Embodied Reasoning through Planning with Language Models
    206 citations · 2022
  8. 8
    Collective robot reinforcement learning with distributed asynchronous guided policy search
    139 citations · 2017
  9. 9
    Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
    88 citations · 2017
  10. 10
    Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning
    75 citations · 2016

Key Collaborators

SLSergey Levine21 shared papersKHKarol Hausman21 shared papersCFChelsea Finn10 shared papersTXTed Xiao9 shared papersDKDmitry Kalashnikov8 shared papersAIAlex Irpan8 shared papersTYTianhe Yu7 shared papersKRKanishka Rao7 shared papersKGKeerthana Gopalakrishnan7 shared papersYLYao Lu7 shared papersFXFei Xia7 shared papersQVQuan Vuong7 shared papersNBNoah Brown7 shared papersPSPierre Sermanet6 shared papersBIBrian Ichter6 shared papersJIJulian Ibarz6 shared papersJHJasmine Hsu6 shared papersGSGaurav S. Sukhatme6 shared papersSSStefan Schaal6 shared papersAKAviral Kumar5 shared papers
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