Sertac Karaman

Sertac Karaman

Massachusetts Institute of Technology

H-index: 59

North America-United States

About Sertac Karaman

Sertac Karaman, With an exceptional h-index of 59 and a recent h-index of 49 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Robotics, Motion Planning, Control Theory, Artificial Intelligence, Autonomous Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model

NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented Camera Pose Regressor and Uncertainty Quantification

Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning

Social behavior for autonomous vehicles

Flexible Multiagent Coverage Path Planning for Disjoint Areas of Interest

Generalized Multiagent Reinforcement Learning for Coverage Path Planning in Unknown, Dynamic, and Hazardous Environments

Systems and methods for training a scene simulator using real and simulated agent data

Systems and methods for estimating the risk associated with a vehicular maneuver

Sertac Karaman Information

University

Position

Associate Professor of Aeronautics and Astronautics

Citations(all)

19313

Citations(since 2020)

13089

Cited By

11773

hIndex(all)

59

hIndex(since 2020)

49

i10Index(all)

142

i10Index(since 2020)

131

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Sertac Karaman Skills & Research Interests

Robotics

Motion Planning

Control Theory

Artificial Intelligence

Autonomous Systems

Top articles of Sertac Karaman

Title

Journal

Author(s)

Publication Date

GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model

IEEE Transactions on Robotics

Peter Zhi Xuan Li

Sertac Karaman

Vivienne Sze

2024/1/1

NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented Camera Pose Regressor and Uncertainty Quantification

arXiv preprint arXiv:2404.01400

Juyeop Han

Lukas Lao Beyer

Guilherme V Cavalheiro

Sertac Karaman

2024/4/1

Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning

arXiv preprint arXiv:2403.08152

Gilhyun Ryou

Geoffrey Wang

Sertac Karaman

2024/3/13

Social behavior for autonomous vehicles

2024/1/30

Flexible Multiagent Coverage Path Planning for Disjoint Areas of Interest

Andrea Henshall

Ezra Tal

Sertac Karaman

2024

Generalized Multiagent Reinforcement Learning for Coverage Path Planning in Unknown, Dynamic, and Hazardous Environments

Andrea Henshall

Sertac Karaman

2024

Systems and methods for training a scene simulator using real and simulated agent data

2024/4/11

Systems and methods for estimating the risk associated with a vehicular maneuver

2023/8/15

Agility and Target Distribution in the Dynamic Stochastic Traveling Salesman Problem

arXiv preprint arXiv:2302.00243

Aviv Adler

Oren Gal

Sertac Karaman

2023/2/1

Wiswarm: Age-of-information-based wireless networking for collaborative teams of uavs

Vishrant Tripathi

Igor Kadota

Ezra Tal

Muhammad Shahir Rahman

Alexander Warren

...

2023/5/17

Recovering orthogonal tensors under arbitrarily strong, but locally correlated, noise

Numerical Linear Algebra with Applications

Oscar Mickelin

Sertac Karaman

2023/8

Autonomous navigation in a cluttered environment

2023/11/7

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving

IEEE Robotics and Automation Letters

Xiao Li

Igor Gilitschenski

Guy Rosman

Sertac Karaman

Daniela Rus

2023/5/5

Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow

Noam Buckman

Sertac Karaman

Daniela Rus

2023/6/4

Drive anywhere: Generalizable end-to-end autonomous driving with multi-modal foundation models

arXiv preprint arXiv:2310.17642

Tsun-Hsuan Wang

Alaa Maalouf

Wei Xiao

Yutong Ban

Alexander Amini

...

2023/10/26

Vehicular control system

2023/4/13

Risk-Aware Neural Navigation From BEV Input for Interactive Driving

Suzanna Jiwani

Xiao Li

Sertac Karaman

Daniela Rus

2023/5/29

Dynamic multi-team racing: Competitive driving on 1/10-th scale vehicles via learning in simulation

Peter Werner

Tim Seyde

Paul Drews

Thomas Matrai Balch

Igor Gilitschenski

...

2023/8/30

Real-time generation of time-optimal quadrotor trajectories with semi-supervised seq2seq learning

Gilhyun Ryou

Ezra Tal

Sertac Karaman

2023/3/6

Infrastructure-based End-to-End Learning and Prevention of Driver Failure

Noam Buckman

Shiva Sreeram

Mathias Lechner

Yutong Ban

Ramin Hasani

...

2023/5/29

See List of Professors in Sertac Karaman University(Massachusetts Institute of Technology)

Co-Authors

H-index: 143
Daniela Rus

Daniela Rus

Massachusetts Institute of Technology

H-index: 101
Jonathan P. How

Jonathan P. How

Massachusetts Institute of Technology

H-index: 72
Eytan Modiano

Eytan Modiano

Massachusetts Institute of Technology

H-index: 51
Vivienne Sze

Vivienne Sze

Massachusetts Institute of Technology

H-index: 50
Luca Carlone

Luca Carlone

Massachusetts Institute of Technology

H-index: 37
Matthew R. Walter

Matthew R. Walter

Toyota Technological Institute

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