World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
15052
World Ranking
4240
National Ranking
260

Research.com Recognitions

  • 2013 - Fellow of the Royal Society of Edinburgh

Overview

Sethu Vijayakumar is affiliated with the University of Edinburgh in the United Kingdom. Their research spans multiple fields within engineering and computer science, with a focus on robotics and related technologies.

The main fields of study include:

  • Engineering
  • Computer Science

Their work further concentrates on several subfields of study such as:

  • Biomedical Engineering
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering

Major topics covered in their research are:

  • Robotic Locomotion and Control
  • Robot Manipulation and Learning
  • Prosthetics and Rehabilitation Robotics
  • Robotic Path Planning Algorithms
  • Muscle Activation and Electromyography Studies
  • Robotics and Sensor-Based Localization
  • Robotic Mechanisms and Dynamics

Their recent publications include the following papers:

  • "Human-in-the-Loop Optimization of Exoskeleton Assistance Via Online Simulation of Metabolic Cost" (2022, IEEE Transactions on Robotics)
  • "Online Hybrid Motion Planning for Dyadic Collaborative Manipulation via Bilevel Optimization" (2020, IEEE Transactions on Robotics)
  • "RoLoMa: robust loco-manipulation for quadruped robots with arms" (2023, Autonomous Robots)
  • "Decentralized Ability-Aware Adaptive Control for Multi-Robot Collaborative Manipulation" (2021, IEEE Robotics and Automation Letters)
  • "Inverse-Dynamics MPC via Nullspace Resolution" (2023, IEEE Transactions on Robotics)

Frequent co-authors collaborating with Sethu Vijayakumar include:

  • Vladimir Ivan
  • Theodoros Stouraitis
  • Wolfgang Merkt
  • João Moura
  • Steve Tonneau

Their publications have appeared primarily in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Robotics
  • IEEE Robotics and Automation Letters
  • Autonomous Robots
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Sethu Vijayakumar's work has been recognized with the designation of Fellow of the Royal Society of Edinburgh in 2013.

Best Publications

  • Natural actor-critic

    Jan Peters;Sethu Vijayakumar;Stefan Schaal

  • Incremental Online Learning in High Dimensions

    Sethu Vijayakumar;Aaron D'souza;Stefan Schaal

  • Reinforcement Learning for Humanoid Robotics

    J. Peters;Sethu Vijayakumar;S. Schaal

  • Locally Weighted Projection Regression : An O(n) Algorithm for Incremental Real Time Learning in High Dimensional Space

    Sethu Vijayakumar;Stefan Schaal

  • 2017 IEEE International Conference on Robotics and Automation

    Leopoldo Armesto;Jorren Bosga;Vladimir Ivan;Sethu Vijayakumar

  • Learning inverse kinematics

    A. D'Souza;S. Vijayakumar;S. Schaal

  • Using humanoid robots to study human behavior

    C.G. Atkeson;J.G. Hale;F. Pollick;M. Riley

  • Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning

    Stefan Schaal;Christopher G. Atkeson;Sethu Vijayakumar

  • Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control

    Carlos Mastalli;Rohan Budhiraja;Wolfgang Merkt;Guilhem Saurel

  • On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference

    Konrad Rawlik;Marc Toussaint;Sethu Vijayakumar

  • The role of feed-forward and feedback processes for closed-loop prosthesis control

    Ian Saunders;Sethu Vijayakumar

  • Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements

    Agamemnon Krasoulis;Iris Kyranou;Iris Kyranou;Mustapha Suphi Erden;Kianoush Nazarpour

  • Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing

    Luigi Acerbi;Daniel M. Wolpert;Sethu Vijayakumar

  • On the Origins of Suboptimality in Human Probabilistic Inference

    Luigi Acerbi;Sethu Vijayakumar;Daniel M. Wolpert

  • On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract)

    Unknown

  • Robots Driven by Compliant Actuators: Optimal Control Under Actuation Constraints

    David J. Braun;Florian Petit;Felix Huber;Sami Haddadin

  • Hierarchical Procrustes Matching for Shape Retrieval

    G. McNeill;S. Vijayakumar

  • Optimal variable stiffness control: formulation and application to explosive movement tasks

    David J. Braun;Matthew Howard;Sethu Vijayakumar

  • Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space

    Sethu Vijayakumar;Stefan Schaal

  • Sequential support vector classifiers and regression

    Sethu Vijayakumar;Si Wu

  • Proc. IEEE International Conference on Robotics and Automation (ICRA '08)

    Jo-Anne Ting;Aaron D'Souza;Sethu Vijayakumar;Stefan Schaal

  • International Joint Conference in Artificial Intelligence (IJCAI)

    Konrad Rawlik;Marc Toussaint;Sethu Vijayakumar

  • The Bayesian backfitting relevance vector machine

    Aaron D'Souza;Sethu Vijayakumar;Stefan Schaal

  • Proc. of the 19th. International Joint Conference on Artificial Intelligence (IJCAI'05)

    M. Toussaint;Sethu Vijayakumar

  • Advances in Neural Information Processing Systems 27

    Luigi Acerbi;Wei Ji Ma;Sethu Vijayakumar

Frequent Co-Authors

Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne
Aude Billard
Aude Billard École Polytechnique Fédérale de Lausanne
Stefan Schaal
Stefan Schaal Google (United States)
Marc Toussaint
Marc Toussaint Technical University of Berlin
Michael Gienger
Michael Gienger Honda (Japan)
Taku Komura
Taku Komura University of Edinburgh
Jan Peters
Jan Peters Technical University of Darmstadt
Timothy M. Hospedales
Timothy M. Hospedales University of Edinburgh
Daniel M. Wolpert
Daniel M. Wolpert Columbia University
Roland S. Johansson
Roland S. Johansson Umeå University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degree options can open new doors for students interested in computer science and related STEM fields. Flexible programs make it possible to balance study with life and work commitments. For those seeking a fast track, a 2-year computer science degree online allows motivated learners to earn their credentials quickly and enter the tech workforce sooner.

Related engineering and science fields also offer strong online learning opportunities. Choosing an online environmental engineering degree science and engineering program combines a passion for technology and sustainability, while those interested in design and innovation may consider the cheapest mechanical engineering degree online for a cost-effective path into engineering.

If you are passionate about scientific discovery, online physics degrees provide flexible ways to study fundamental physical laws while preparing for diverse careers in research, engineering, or education. Exploring these related online programs helps expand your STEM career opportunities and gives you the freedom to learn at your own pace, wherever you are.

Best Scientists Citing Sethu Vijayakumar

Trending Scientists

Recently Published Articles