Nikolay A. Atanasov

Nikolay A. Atanasov

University of California, San Diego

H-index: 30

North America-United States

About Nikolay A. Atanasov

Nikolay A. Atanasov, With an exceptional h-index of 30 and a recent h-index of 27 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Robotics.

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

Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping

Riemannian Optimization for Active Mapping with Robot Teams

Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control

Multi-Robot Object SLAM using Distributed Variational Inference

TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning

Distributionally Robust Policy and Lyapunov-Certificate Learning

Learning generalizable feature fields for mobile manipulation

Policy Learning for Active Target Tracking over Continuous Trajectories

Nikolay A. Atanasov Information

University

Position

Assistant Professor

Citations(all)

3892

Citations(since 2020)

3245

Cited By

1749

hIndex(all)

30

hIndex(since 2020)

27

i10Index(all)

53

i10Index(since 2020)

47

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Nikolay A. Atanasov Skills & Research Interests

Robotics

Top articles of Nikolay A. Atanasov

Title

Journal

Author(s)

Publication Date

Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping

arXiv preprint arXiv:2402.08867

Arash Asgharivaskasi

Nikolay Atanasov

2024/2/14

Riemannian Optimization for Active Mapping with Robot Teams

arXiv preprint arXiv:2404.18321

Arash Asgharivaskasi

Fritz Girke

Nikolay Atanasov

2024/4/28

Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control

arXiv preprint arXiv:2401.09520

Thai Duong

Abdullah Altawaitan

Jason Stanley

Nikolay Atanasov

2024/1/17

Multi-Robot Object SLAM using Distributed Variational Inference

arXiv preprint arXiv:2404.18331

Hanwen Cao

Sriram Shreedharan

Nikolay Atanasov

2024/4/28

TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning

IEEE Transactions on Robotics

Qiaojun Feng

Nikolay Atanasov

2024/1/11

Distributionally Robust Policy and Lyapunov-Certificate Learning

arXiv preprint arXiv:2404.03017

Kehan Long

Jorge Cortes

Nikolay Atanasov

2024/4/3

Learning generalizable feature fields for mobile manipulation

arXiv preprint arXiv:2403.07563

Ri-Zhao Qiu

Yafei Hu

Ge Yang

Yuchen Song

Yang Fu

...

2024/3/12

Policy Learning for Active Target Tracking over Continuous Trajectories

Pengzhi Yang

Shumon Koga

Arash Asgharivaskasi

Nikolay Atanasov

2023/6/6

Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control

arXiv preprint arXiv:2309.09163

Abdullah Altawaitan

Jason Stanley

Sambaran Ghosal

Thai Duong

Nikolay Atanasov

2023/9/17

Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks

Eduardo Sebastián

Thai Duong

Nikolay Atanasov

Eduardo Montijano

Carlos Sagüés

2023/12/4

Information-theoretic abstraction of semantic octree models for integrated perception and planning

Daniel T Larsson

Arash Asgharivaskasi

Jaein Lim

Nikolay Atanasov

Panagiotis Tsiotras

2023/5/29

Distributionally Robust Lyapunov Function Search Under Uncertainty

Kehan Long

Yinzhuang Yi

Jorge Cortés

Nikolay Atanasov

2023/6/6

Dynamic handover: Throw and catch with bimanual hands

Conference of Robot Learning

Binghao Huang

Yuanpei Chen

Tianyu Wang

Yuzhe Qin

Yaodong Yang

...

2023/9/11

Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities

arXiv preprint arXiv:2312.01227

Parth Paritosh

Nikolay Atanasov

Sonia Martinez

2023/12/2

LEMURS: Learning distributed multi-robot interactions

Eduardo Sebastián

Thai Duong

Nikolay Atanasov

Eduardo Montijano

Carlos Sagüés

2023/5/29

Lie group forced variational integrator networks for learning and control of robot systems

Valentin Duruisseaux

Thai P Duong

Melvin Leok

Nikolay Atanasov

2023/6/6

Distributed Variational Inference for Online Supervised Learning

arXiv preprint arXiv:2309.02606

Parth Paritosh

Nikolay Atanasov

Sonia Martinez

2023/9/5

East: Environment aware safe tracking using planning and control co-design

arXiv preprint arXiv:2310.01363

Zhichao Li

Yinzhuang Yi

Zhuolin Niu

Nikolay Atanasov

2023/10/2

Energy-aware, collision-free information gathering for heterogeneous robot teams

IEEE Transactions on Robotics

Xiaoyi Cai

Brent Schlotfeldt

Kasra Khosoussi

Nikolay Atanasov

George J Pappas

...

2023/3/30

Governor-parameterized barrier function for safe output tracking with locally sensed constraints

Automatica

Zhichao Li

Nikolay Atanasov

2023/6/1

See List of Professors in Nikolay A. Atanasov University(University of California, San Diego)

Co-Authors

H-index: 137
Manfred Morari

Manfred Morari

University of Pennsylvania

H-index: 130
Vijay Kumar

Vijay Kumar

University of Pennsylvania

H-index: 105
George J. Pappas

George J. Pappas

University of Pennsylvania

H-index: 86
Kostas Daniilidis

Kostas Daniilidis

University of Pennsylvania

H-index: 61
Jorge Cortes

Jorge Cortes

University of California, San Diego

H-index: 32
Jerome Le Ny

Jerome Le Ny

École Polytechnique de Montréal

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