Ryuki Tachibana

IBM Research - Tokyo

Papers

6

Total Citations

474

H-Index

6

About

No biography available yet.

Research Focus

Computer science6 · 474 citations
Artificial intelligence6 · 474 citations
Robot6 · 474 citations
Artificial neural network4 · 458 citations
Reinforcement learning4 · 458 citations
Engineering4 · 458 citations
Task (project management)2 · 329 citations
Simulation2 · 329 citations
Robustness (evolution)2 · 329 citations
Software deployment2 · 329 citations
Machine learning2 · 129 citations
Control (management)2 · 129 citations

Key Achievements

6
H-Index
6
Papers
474
Total Citations
79
Avg Citations/Paper
🏆 Most Cited Paper
Deep reinforcement learning for high precision assembly tasks
300 citations · 2017
📈 Most Prolific Year: 2017 (4 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: IBM Research - Tokyo

Top Papers

  1. 1
    Deep reinforcement learning for high precision assembly tasks
    300 citations · 2017
  2. 2
    OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
    118 citations · 2018
  3. 3
    Deep Reinforcement Learning for High Precision Assembly Tasks
    29 citations · 2017
  4. 4
    OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
    11 citations · 2017
  5. 5
    Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory
    10 citations · 2017
  6. 6
    Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion
    6 citations · 2018

Key Collaborators

GDGiovanni De Magistris6 shared papersAMAsim Munawar4 shared papersTPTu-Hoa Pham3 shared papersTITadanobu Inoue3 shared papersPVPhongtharin Vinayavekhin2 shared papersTYTsuyoshi Yokoya2 shared papersMTMichiaki Tatsubori1 shared papersYHYifan Huang1 shared papersDKDaiki Kimura1 shared papers
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