What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Software
François Michaud mainly focuses on Mobile robot, Artificial intelligence, Robot, Computer vision and Microphone array.
His Mobile robot study frequently draws parallels with other fields, such as Human–computer interaction.
His Robotics, Interpolation and Edge detection study in the realm of Artificial intelligence connects with subjects such as Line.
His work carried out in the field of Robot brings together such families of science as Control engineering, Cognitive psychology, Simulation and Social skills.
His work in the fields of Filter and Loop closure overlaps with other areas such as Graph based and Kidnapped robot problem.
His work deals with themes such as Acoustic source localization, Speech recognition, Source separation and Noise, which intersect with Microphone array.
His most cited work include:
- Robust sound source localization using a microphone array on a mobile robot (312 citations)
- Robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering (294 citations)
- Online global loop closure detection for large-scale multi-session graph-based SLAM (237 citations)
What are the main themes of his work throughout his whole career to date?
François Michaud spends much of his time researching Robot, Mobile robot, Artificial intelligence, Human–computer interaction and Computer vision.
His study looks at the intersection of Robot and topics like Control engineering with Actuator.
His Mobile robot study integrates concerns from other disciplines, such as Acoustic source localization and Teleoperation.
His Acoustic source localization research is multidisciplinary, relying on both Microphone array and Speech recognition.
The Artificial intelligence study combines topics in areas such as Event and Process.
His research integrates issues of Control and Autism in his study of Human–computer interaction.
He most often published in these fields:
- Robot (39.65%)
- Mobile robot (37.89%)
- Artificial intelligence (32.98%)
What were the highlights of his more recent work (between 2014-2021)?
- Mobile robot (37.89%)
- Robot (39.65%)
- Human–computer interaction (20.70%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mobile robot, Robot, Human–computer interaction, Artificial intelligence and Computer vision.
His study in Mobile robot is interdisciplinary in nature, drawing from both Speech recognition, Sound localization, Sound, Teleoperation and Microphone array.
His biological study spans a wide range of topics, including Task, Computation, Memorization and Categorization.
He has researched Human–computer interaction in several fields, including Wheelchair, Robot control, Embedded system, Simulation and Robot kinematics.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Session and Recall.
His Computer vision study also includes fields such as
- Acoustic source localization, which have a strong connection to Noise and Event,
- Kalman filter which is related to area like Location awareness.
Between 2014 and 2021, his most popular works were:
- RTAB-Map as an open-source lidar and visual simultaneous localization and mapping library for large-scale and long-term online operation (149 citations)
- Exoskeletons' design and usefulness evidence according to a systematic review of lower limb exoskeletons used for functional mobility by people with spinal cord injury. (70 citations)
- Lightweight and optimized sound source localization and tracking methods for open and closed microphone array configurations (34 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Software
His primary areas of study are Artificial intelligence, Mobile robot, Robot, Acoustic source localization and Computer vision.
His Artificial intelligence research includes themes of Memorization and Task.
The various areas that François Michaud examines in his Mobile robot study include Motion controller and Manipulator.
The Robot control research François Michaud does as part of his general Robot study is frequently linked to other disciplines of science, such as Memory model, therefore creating a link between diverse domains of science.
François Michaud interconnects Sound localization and Noise in the investigation of issues within Acoustic source localization.
His study looks at the relationship between Computer vision and fields such as Teleoperation, as well as how they intersect with chemical problems.
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