What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Statistics
Sethu Vijayakumar mostly deals with Artificial intelligence, Humanoid robot, Control theory, Machine learning and Robot.
The Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition.
His Humanoid robot study integrates concerns from other disciplines, such as Control system, Robot kinematics, Motion planning and Robot vision.
His biological study spans a wide range of topics, including Control engineering and Impedance control.
Sethu Vijayakumar has researched Machine learning in several fields, including MATLAB and Task.
His Robot research incorporates elements of Artificial neural network, Adaptive control and Pooling.
His most cited work include:
- Incremental Online Learning in High Dimensions (468 citations)
- From Animals to Animats (310 citations)
- Natural actor-critic (299 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Robot, Control theory, Machine learning and Robotics.
His studies in Artificial intelligence integrate themes in fields like Task, Computer vision and Pattern recognition.
His studies deal with areas such as Control engineering, Control theory, Stiffness and Trajectory as well as Robot.
His study in Machine learning is interdisciplinary in nature, drawing from both Robot learning, Probabilistic logic and Bayesian probability.
His Robotics study incorporates themes from Automation and Systems engineering.
Humanoid robot is often connected to Motion planning in his work.
He most often published in these fields:
- Artificial intelligence (48.38%)
- Robot (24.59%)
- Control theory (17.57%)
What were the highlights of his more recent work (between 2018-2021)?
- Robot (24.59%)
- Control theory (17.57%)
- Control theory (6.49%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Robot, Control theory, Control theory, Trajectory optimization and Artificial intelligence.
Sethu Vijayakumar combines subjects such as Control engineering, Control, Task analysis and Trajectory with his study of Robot.
His Control theory research integrates issues from Motion and Model predictive control.
His Control theory research incorporates themes from Electrical impedance, Obstacle and Robot kinematics.
His Trajectory optimization study also includes
- Robot manipulator which intersects with area such as Transmission,
- Discretization which is related to area like Inverse dynamics and Discrete time and continuous time,
- Metric which connect with Benchmark, Stability and Maximization.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Task and Computer vision.
Between 2018 and 2021, his most popular works were:
- Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control (33 citations)
- EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control (14 citations)
- Online Optimal Impedance Planning for Legged Robots (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Sethu Vijayakumar spends much of his time researching Robot, Control theory, Trajectory optimization, Motion planning and Control theory.
His studies deal with areas such as Passivity and Task, Task analysis as well as Robot.
Sethu Vijayakumar combines subjects such as Distributed computing, Online adaptation, Human–computer interaction, Artificial intelligence and Robot kinematics with his study of Task analysis.
His research integrates issues of Solver and Flexibility in his study of Artificial intelligence.
His Trajectory optimization research includes themes of Gait, Gait and Machine learning, Selection.
The concepts of his Control theory study are interwoven with issues in Electrical impedance, Impedance control, Obstacle and Stiffness.
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