What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Robot
Howie Choset focuses on Robot, Motion planning, Mobile robot, Artificial intelligence and Computer vision.
His research in Robot intersects with topics in Voronoi diagram, Modular design, Real-time computing and Configuration space.
Howie Choset has researched Motion planning in several fields, including Computational geometry, Graph, Mathematical optimization and Topology.
Howie Choset combines subjects such as Control engineering and Cellular decomposition with his study of Mobile robot.
Howie Choset works in the field of Artificial intelligence, namely Robotics.
His Computer vision research includes themes of Instrumentation, Detector, Sonar, Visualization and Da Vinci Surgical System.
His most cited work include:
- Coverage for robotics – A survey of recent results (932 citations)
- Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localization (555 citations)
- Continuum Robots for Medical Applications: A Survey (451 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Robot, Artificial intelligence, Mobile robot, Motion planning and Control theory.
He works mostly in the field of Robot, limiting it down to topics relating to Human–computer interaction and, in certain cases, Search and rescue, as a part of the same area of interest.
In his study, Kalman filter is inextricably linked to Computer vision, which falls within the broad field of Artificial intelligence.
His Mobile robot study incorporates themes from Distributed computing and Sonar.
His Motion planning research integrates issues from Voronoi diagram, Computational geometry, Mathematical optimization and Topology.
His Control theory research is multidisciplinary, incorporating elements of Gait, Kinematics, Nonholonomic system and Motion control.
He most often published in these fields:
- Robot (45.29%)
- Artificial intelligence (33.56%)
- Mobile robot (25.29%)
What were the highlights of his more recent work (between 2018-2021)?
- Robot (45.29%)
- Artificial intelligence (33.56%)
- Computer vision (19.08%)
In recent papers he was focusing on the following fields of study:
Howie Choset mainly focuses on Robot, Artificial intelligence, Computer vision, Mathematical optimization and Control theory.
His work deals with themes such as Task and Reinforcement learning, which intersect with Robot.
His work carried out in the field of Artificial intelligence brings together such families of science as Pattern recognition and Code.
His research integrates issues of Terrain, Traverse, Odometry, Work and Lidar in his study of Computer vision.
His biological study spans a wide range of topics, including Path, CPU time, Dimension and Trajectory.
He has included themes like Distributed algorithm, Mobile robot, Decentralised system and Articulated robot in his Hexapod study.
Between 2018 and 2021, his most popular works were:
- Combating COVID-19-The role of robotics in managing public health and infectious diseases. (138 citations)
- PCRNet: Point Cloud Registration Network using PointNet Encoding. (36 citations)
- PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning (35 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Robotics
Howie Choset mostly deals with Artificial intelligence, Robot, Noise, Algorithm and Robotics.
His Artificial intelligence research incorporates elements of Adversary, Computer vision and Bellman equation.
His study of Robot kinematics is a part of Robot.
The concepts of his Algorithm study are interwoven with issues in Kalman filter, Object, Point set registration and Geometric modeling.
When carried out as part of a general Robotics research project, his work on Future of robotics is frequently linked to work in Original research, 2019-20 coronavirus outbreak and Public health, therefore connecting diverse disciplines of study.
His Control theory research incorporates themes from Multi link, Motion planning and Brachiation.
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