What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Machine learning
- Robot
Artificial intelligence, Robot, Human–computer interaction, Human–robot interaction and Trajectory optimization are her primary areas of study.
Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Active learning and Maximization.
Her biological study spans a wide range of topics, including Motion and Leverage.
Her Human–computer interaction study integrates concerns from other disciplines, such as Simulation and Teleoperation.
Her research in Trajectory optimization intersects with topics in Motion planning and Motion control.
When carried out as part of a general Mathematical optimization research project, her work on Hamiltonian and Constrained optimization is frequently linked to work in Hybrid Monte Carlo and Maxima and minima, therefore connecting diverse disciplines of study.
Her most cited work include:
- CHOMP: Covariant Hamiltonian optimization for motion planning (386 citations)
- Legibility and predictability of robot motion (308 citations)
- Planning for Autonomous Cars that Leverage Effects on Human Actions (200 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Robot, Artificial intelligence, Human–computer interaction, Machine learning and Robotics.
Her work on Human–robot interaction as part of general Robot study is frequently linked to Action, therefore connecting diverse disciplines of science.
Her Human–robot interaction study incorporates themes from Adaptation and Bayesian inference.
Anca D. Dragan combines subjects such as State space and Computer vision with her study of Artificial intelligence.
Anca D. Dragan has researched Human–computer interaction in several fields, including Simulation, Teleoperation and Set.
She works mostly in the field of Reinforcement learning, limiting it down to topics relating to Artificial neural network and, in certain cases, Video game.
She most often published in these fields:
- Robot (59.55%)
- Artificial intelligence (44.94%)
- Human–computer interaction (40.45%)
What were the highlights of her more recent work (between 2019-2021)?
- Robot (59.55%)
- Artificial intelligence (44.94%)
- Human–computer interaction (40.45%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Robot, Artificial intelligence, Human–computer interaction, Inference and Reward learning.
The concepts of her Robot study are interwoven with issues in Probabilistic logic, State space and Leverage.
Her work deals with themes such as Machine learning and Trajectory, which intersect with Artificial intelligence.
Her work carried out in the field of Human–computer interaction brings together such families of science as Teleoperation, Human–robot interaction and Reinforcement learning.
The Human–robot interaction study which covers Motion planning that intersects with Bayesian inference.
Her research investigates the connection between Inference and topics such as Set that intersect with problems in Optimal control and State.
Between 2019 and 2021, her most popular works were:
- Confidence-aware motion prediction for real-time collision avoidance1: (18 citations)
- SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards (13 citations)
- LESS is More: Rethinking Probabilistic Models of Human Behavior (10 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Algorithm
Anca D. Dragan mostly deals with Robot, Artificial intelligence, Key, Human–computer interaction and Reward learning.
Her research on Robot often connects related areas such as Bayesian inference.
Her Bayesian inference research includes elements of Machine learning and Reachability.
Her works in Leverage, Probabilistic logic, Robot motion planning, Motion prediction and Robust control are all subjects of inquiry into Artificial intelligence.
Her work in Human–computer interaction addresses issues such as Teleoperation, which are connected to fields such as Mobile robot navigation.
Anca D. Dragan works mostly in the field of Inference, limiting it down to topics relating to Robotics and, in certain cases, Trajectory, as a part of the same area of interest.
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