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Rising Stars
2025

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Rising Stars

D-Index
37
Citations
9008
World Ranking
746
National Ranking
121

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Vikash Kumar is affiliated with the University of Washington in the United States and has an active research profile spanning the fields of engineering and computer science. Their work primarily intersects subfields such as mechanical engineering, electrical and electronic engineering, materials chemistry, information systems, and biomedical engineering.

Their research topics cover a variety of specialized areas including electrodeposition and electroless coatings, muscle activation and electromyography studies, metallurgical processes and thermodynamics, electrocatalysts for energy conversion, semiconductor materials and interfaces, corrosion behavior and inhibition, and additive manufacturing materials and processes.

Recent scholarly contributions by Vikash Kumar include the following publications:

  • Tailoring electroless Ni-W-P polyalloy coatings: Unveiling the synergistic impact of cerium addition and annealing on surface functional properties, 2024, Surface and Coatings Technology
  • Optimization, Prediction, and Characterization of Electroless Ni-W-P-nanoTiO2 Composite Coatings on Pipeline Steel, 2023, Arabian Journal for Science and Engineering
  • MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • Abrupt Casting Failures Due to Sub Entry Nozzle Clogging in Calcium Treated Aluminum Killed Steel, 2022, Journal of Failure Analysis and Prevention
  • Influence of bulk post processing techniques on anisotropy of microstructural and tribological properties of L-DED produced Ti64 alloy, 2025, Wear

Vikash Kumar frequently collaborates with several researchers, including Buddhadeb Oraon, Biplab Baran Mandal, Somnath Kumar, Sumanta Mukherjee, and S. Suresh. These collaborations have contributed to advancing research in their areas of expertise.

Their work has appeared in publication venues such as Procedia Computer Science, arXiv (Cornell University), the 2022 International Conference on Robotics and Automation (ICRA), Journal of Failure Analysis and Prevention, and Arabian Journal for Science and Engineering.

Best Publications

  • Soft Actor-Critic Algorithms and Applications

    Tuomas Haarnoja;Aurick Zhou;Kristian Hartikainen;George Tucker

  • Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

    Aravind Rajeswaran;Vikash Kumar;Abhishek Gupta;Giulia Vezzani

  • Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

    Matthias Plappert;Marcin Andrychowicz;Alex Ray;Bob McGrew

  • Optimal control with learned local models: Application to dexterous manipulation

    Vikash Kumar;Emanuel Todorov;Sergey Levine

  • Deep Dynamics Models for Learning Dexterous Manipulation.

    Anusha Nagabandi;Kurt Konolige;Sergey Levine;Vikash Kumar

  • An integrated system for real-time model predictive control of humanoid robots

    Tom Erez;Kendall Lowrey;Yuval Tassa;Vikash Kumar

  • Learning Latent Plans from Play

    Corey Harrison Lynch;Mohi Khansari;Ted Xiao;Vikash Kumar

  • Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

    Henry Zhu;Abhishek Gupta;Aravind Rajeswaran;Sergey Levine

  • Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

    Aravind Rajeswaran;Vikash Kumar;Abhishek Gupta;John Schulman

  • Domain Randomization and Generative Models for Robotic Grasping

    Josh Tobin;Lukas Biewald;Rocky Duan;Marcin Andrychowicz

  • Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

    Abhishek Gupta;Vikash Kumar;Corey Lynch;Sergey Levine

  • Dynamics-Aware Unsupervised Discovery of Skills

    Archit Sharma;Shixiang Gu;Sergey Levine;Vikash Kumar

  • Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines

    Cathy Wu;Aravind Rajeswaran;Yan Duan;Vikash Kumar

  • MuJoCo HAPTIX: A virtual reality system for hand manipulation

    Vikash Kumar;Emanuel Todorov

  • The Ingredients of Real World Robotic Reinforcement Learning

    Henry Zhu;Justin Yu;Abhishek Gupta;Dhruv Shah

  • Divide-and-Conquer Reinforcement Learning

    Dibya Ghosh;Avi Singh;Aravind Rajeswaran;Vikash Kumar

  • Learning Dexterous Manipulation Policies from Experience and Imitation.

    Vikash Kumar;Abhishek Gupta;Emanuel Todorov;Sergey Levine

  • Deep Dynamics Models for Learning Dexterous Manipulation

    Anusha Nagabandi;Kurt Konoglie;Sergey Levine;Vikash Kumar

  • ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots

    Michael Ahn;Henry Zhu;Kristian Hartikainen;Hugo Ponte

  • Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention

    Abhishek Gupta;Justin Yu;Tony Z. Zhao;Vikash Kumar

Frequent Co-Authors

Sergey Levine
Sergey Levine University of California, Berkeley
Emanuel Todorov
Emanuel Todorov University of Washington
Shixiang Gu
Shixiang Gu Google (United States)
Igor Mordatch
Igor Mordatch Google (United States)
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Yuval Tassa
Yuval Tassa Google (United States)
Alexandre M. Bayen
Alexandre M. Bayen University of California, Berkeley
Danica Kragic
Danica Kragic Royal Institute of Technology
Chelsea Finn
Chelsea Finn Stanford University

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