Devesh K. Jha

Mitsubishi Electric (United States), Pennsylvania State University, Park University, Mitsubishi Electric (Japan), Tokyo Institute of Technology, The University of Texas at Arlington

Papers

46

Total Citations

447

H-Index

12

About

No biography available yet.

Research Focus

Computer science46 · 447 citations
Artificial intelligence37 · 404 citations
Robot31 · 347 citations
Engineering22 · 230 citations
Mathematics19 · 189 citations
Control engineering11 · 157 citations
Control theory (sociology)12 · 157 citations
Machine learning12 · 137 citations
Control (management)11 · 130 citations
Trajectory8 · 117 citations
Controller (irrigation)10 · 116 citations
Algorithm12 · 110 citations

Key Achievements

12
H-Index
46
Papers
447
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning
31 citations · 2019
📈 Most Prolific Year: 2019 (7 Papers)
🤝 Key Collaborators: 78
🏛 Institutions: Mitsubishi Electric (United States), Pennsylvania State University, Park University, Mitsubishi Electric (Japan), Tokyo Institute of Technology, The University of Texas at Arlington

Top Papers

  1. 1
    Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning
    31 citations · 2019
  2. 2
    Tactile Tool Manipulation
    28 citations · 2023
  3. 3
    Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
    26 citations · 2019
  4. 4
    Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks
    23 citations · 2024
  5. 5
    Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units
    23 citations · 2021
  6. 6
    Neural Network-Based Learning from Demonstration of an Autonomous Ground Robot
    21 citations · 2019
  7. 7
    Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization
    20 citations · 2022
  8. 8
    Feature level sensor fusion for target detection in dynamic environments
    16 citations · 2015
  9. 9
    Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
    16 citations · 2020
  10. 10
    Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics
    15 citations · 2019

Key Collaborators

DRDiego Romeres25 shared papersDNDaniel Nikovski17 shared papersAUArvind U. Raghunathan11 shared papersARAsok Ray9 shared papersKOKei Ota8 shared papersSJSiddarth Jain6 shared papersRCRadu Corcodel6 shared papersWYWilliam Yerazunis5 shared papersMTMasayoshi Tomizuka5 shared papersTMToshisada Mariyama4 shared papersYSYuki Shirai4 shared papersAKAsako Kanezaki3 shared papersCHChiori Hori3 shared papersBYBill Yerazunis3 shared papersGKGeorge Konidaris3 shared papersTAThomas A. Wettergren2 shared papersTOTadashi Onishi2 shared papersPCPritthi Chattopadhyay2 shared papersMZMinghui Zhu2 shared papersSSSeiji Shaw2 shared papers
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