What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Robot
Ales Ude mainly investigates Artificial intelligence, Robot, Humanoid robot, Computer vision and Trajectory.
His research links Action with Artificial intelligence.
His biological study spans a wide range of topics, including Generalization and Representation.
His Humanoid robot research integrates issues from Robot kinematics and Machine vision.
The Human visual system model, Frame rate and Gaze research Ales Ude does as part of his general Computer vision study is frequently linked to other disciplines of science, such as Orientation, therefore creating a link between diverse domains of science.
His research in Trajectory intersects with topics in Simulation, Torque and Motion planning.
His most cited work include:
- Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives (244 citations)
- Using humanoid robots to study human behavior (223 citations)
- CB: A Humanoid Research Platform for Exploring NeuroScience (185 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Robot, Computer vision, Humanoid robot and Trajectory.
Artificial intelligence is a component of his Object, Robot learning, Robot control, Cognitive neuroscience of visual object recognition and Robot kinematics studies.
His work carried out in the field of Robot brings together such families of science as Motion, Representation, Task, Control engineering and Reinforcement learning.
His research in the fields of 3D single-object recognition, Stereopsis and Tracking overlaps with other disciplines such as Foveal.
Ales Ude has researched Humanoid robot in several fields, including Simulation, Machine vision, Human–computer interaction and Motion control.
His work in Trajectory addresses subjects such as Torque, which are connected to disciplines such as Task.
He most often published in these fields:
- Artificial intelligence (69.80%)
- Robot (59.90%)
- Computer vision (39.60%)
What were the highlights of his more recent work (between 2015-2021)?
- Robot (59.90%)
- Artificial intelligence (69.80%)
- Trajectory (18.81%)
In recent papers he was focusing on the following fields of study:
Ales Ude mostly deals with Robot, Artificial intelligence, Trajectory, Task and Computer vision.
His work focuses on many connections between Robot and other disciplines, such as Adaptation, that overlap with his field of interest in Robot control.
His studies link Machine learning with Artificial intelligence.
His Trajectory research also works with subjects such as
- Generalization that connect with fields like Orientation,
- Robot kinematics which intersects with area such as Social robot.
His work deals with themes such as Control engineering, Iterative learning control and Simulation, which intersect with Task.
Ales Ude has included themes like Representation and Human–robot interaction in his Computer vision study.
Between 2015 and 2021, his most popular works were:
- Adaptive Control of Exoskeleton Robots for Periodic Assistive Behaviours Based on EMG Feedback Minimisation. (78 citations)
- Learning Compliant Movement Primitives Through Demonstration and Statistical Generalization (45 citations)
- Adaptation and coaching of periodic motion primitives through physical and visual interaction (36 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Robot
Ales Ude spends much of his time researching Robot, Task, Artificial intelligence, Trajectory and Representation.
The various areas that Ales Ude examines in his Robot study include Control engineering, Iterative learning control, Generalization and Simulation.
His Task research incorporates themes from Motion, Adaptation and Reinforcement learning.
Ales Ude usually deals with Artificial intelligence and limits it to topics linked to Computer vision and Human–robot interaction.
While the research belongs to areas of Trajectory, Ales Ude spends his time largely on the problem of Robot control, intersecting his research to questions surrounding Robot kinematics.
His research in Representation intersects with topics in Cognitive neuroscience of visual object recognition and Human–computer interaction.
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