What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Geometry
Timothy Bretl focuses on Motion planning, Robot, Artificial intelligence, Control theory and Sequence.
The study incorporates disciplines such as Control engineering and Motion in addition to Robot.
His Artificial intelligence study integrates concerns from other disciplines, such as Eddy current and Computer vision.
His research investigates the link between Computer vision and topics such as Probabilistic logic that cross with problems in Simulation and Humanoid robot.
In the field of Control theory, his study on Optimal control overlaps with subjects such as Mechanical equilibrium.
His studies in Sequence integrate themes in fields like Dynamical systems theory, Limit cycle, Exponential stability, Underactuation and Function.
His most cited work include:
- Materials and Optimized Designs for Human‐Machine Interfaces Via Epidermal Electronics (389 citations)
- Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface (173 citations)
- Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces (140 citations)
What are the main themes of his work throughout his whole career to date?
Timothy Bretl spends much of his time researching Robot, Control theory, Artificial intelligence, Motion planning and Optimal control.
His Robot control study in the realm of Robot connects with subjects such as Terrain.
His studies examine the connections between Control theory and genetics, as well as such issues in Mobile robot, with regards to Motion control.
He has researched Artificial intelligence in several fields, including Brain–computer interface and Computer vision.
His Motion planning research is multidisciplinary, relying on both Iterative method, Configuration space, Sequence, Robot kinematics and Nonholonomic system.
His research in Optimal control tackles topics such as Trajectory which are related to areas like Humanoid robot.
He most often published in these fields:
- Robot (23.29%)
- Control theory (22.60%)
- Artificial intelligence (19.86%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (19.86%)
- Pose (3.42%)
- Object (4.79%)
In recent papers he was focusing on the following fields of study:
Timothy Bretl mainly focuses on Artificial intelligence, Pose, Object, Computer vision and Mri compatible.
His Pose study incorporates themes from Robot and Particle filter.
In his articles, he combines various disciplines, including Robot and GRASP.
His Particle filter research incorporates elements of Translation, Feature and Rotation.
The concepts of his Cognition study are interwoven with issues in Bar and Computer hardware.
His Biomedical engineering research is multidisciplinary, incorporating elements of Robotics, Electroencephalography, Wearable computer, Transhumeral prosthesis and Eddy current.
Between 2018 and 2021, his most popular works were:
- Large-area MRI-compatible epidermal electronic interfaces for prosthetic control and cognitive monitoring. (72 citations)
- PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking. (33 citations)
- Self-supervised 6D Object Pose Estimation for Robot Manipulation (23 citations)
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