What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Algorithm
The scientist’s investigation covers issues in Motion planning, Mathematical optimization, Mobile robot, Computational complexity theory and Control theory.
His work deals with themes such as Dynamical systems theory and Optimal control, which intersect with Motion planning.
His primary area of study in Mathematical optimization is in the field of Travelling salesman problem.
His Mobile robot study combines topics in areas such as Control engineering, Bounded function and Trajectory.
His Computational complexity theory research is multidisciplinary, incorporating perspectives in Almost surely, Hybrid automaton, Probabilistic logic and Distributed computing.
As a part of the same scientific study, Emilio Frazzoli usually deals with the Almost surely, concentrating on Kinodynamic planning and frequently concerns with Probabilistic analysis of algorithms and Probabilistic roadmap.
His most cited work include:
- Sampling-based algorithms for optimal motion planning (2182 citations)
- Distributed Event-Triggered Control for Multi-Agent Systems (1163 citations)
- A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles (806 citations)
What are the main themes of his work throughout his whole career to date?
Emilio Frazzoli mostly deals with Mathematical optimization, Motion planning, Control theory, Algorithm and Control.
Emilio Frazzoli has researched Mathematical optimization in several fields, including Routing and Bounded function.
The study incorporates disciplines such as Control engineering, Dynamical systems theory and Mobile robot, Nonholonomic system in addition to Motion planning.
His is doing research in Trajectory and Linear system, both of which are found in Control theory.
Algorithm is frequently linked to Probabilistic logic in his study.
His work on Control theory expands to the thematically related Control.
He most often published in these fields:
- Mathematical optimization (30.66%)
- Motion planning (21.24%)
- Control theory (17.03%)
What were the highlights of his more recent work (between 2015-2021)?
- Mathematical optimization (30.66%)
- Control (10.02%)
- Motion planning (21.24%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Mathematical optimization, Control, Motion planning, Artificial intelligence and Robot.
Emilio Frazzoli is studying Optimal control, which is a component of Mathematical optimization.
His research integrates issues of Structure, Control theory, State and Trajectory in his study of Control.
His work in Motion planning covers topics such as Heuristics which are related to areas like Heuristic.
His Artificial intelligence study integrates concerns from other disciplines, such as Task and Computer vision.
His studies in Robot integrate themes in fields like Distributed computing, Position and Control theory.
Between 2015 and 2021, his most popular works were:
- A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles (806 citations)
- On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment (417 citations)
- Revisiting Street Intersections Using Slot-Based Systems. (113 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Algorithm
His primary areas of study are Transport engineering, Mathematical optimization, Control theory, Control and Motion planning.
Mathematical optimization is often connected to Approximate solution in his work.
His Control theory study incorporates themes from Robot and Finite set.
His work in the fields of Mobile robot overlaps with other areas such as Constraint.
His research in Control intersects with topics in Electronic system-level design and verification, State, Mobility model, Vehicle dynamics and Automotive industry.
His research in Motion planning is mostly concerned with Kinodynamic planning.
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