| 2026 | WACV | DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes. | Runfa Blark Li, Mahdi Shaghaghi, Keito Suzuki, Xinshuang Liu, Varun Moparthi, Bang Du, Walker Curtis, Martin Renschler, Ki Myung Brian Lee, Nikolay Atanasov, Truong Q. Nguyen |
| 2025 | ICLR | Generalizable Motion Planning via Operator Learning. | Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov |
| 2025 | ICRA | High Accuracy Aerial Maneuvers on Legged Robots using Variational Integrator Discretized Trajectory Optimization. | Scott Beck, Chuong Nguyen, Thai Duong, Nikolay Atanasov, Quan Nguyen |
| 2025 | IROS | Neural Configuration Distance Function for Continuum Robot Control. | Kehan Long, Hardik Parwana, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Nikolay Atanasov |
| 2025 | IROS | Learning Generalizable Feature Fields for Mobile Manipulation. | Ri-Zhao Qiu, Yafei Hu, Yuchen Song, Ge Yang, Yang Fu, Jianglong Ye, Jiteng Mu, Ruihan Yang, Nikolay Atanasov, Sebastian A. Scherer, Xiaolong Wang |
| 2025 | IROS | LTLCodeGen: Code Generation of Syntactically Correct Temporal Logic for Robot Task Planning. | Behrad Rabiei, Mahesh Kumar A. R., Zhirui Dai, Surya L. S. R. Pilla, Qiyue Dong, Nikolay Atanasov |
| 2025 | IROS | LATMOS: Latent Automaton Task Model from Observation Sequences. | Weixiao Zhan, Qiyue Dong, Eduardo Sebastin, Nikolay Atanasov |
| 2025 | ICRA | Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions. | Minnan Zhou, Mustafa Shaikh, Vatsalya Chaubey, Patrick Haggerty, Shumon Koga, Dimitra Panagou, Nikolay Atanasov |
| 2024 | ICRA | Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control. | Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov |
| 2024 | ICRA | Optimal Scene Graph Planning with Large Language Model Guidance. | Zhirui Dai, Arash Asgharivaskasi, Thai Duong, Shusen Lin, Maria-Elizabeth Tzes, George J. Pappas, Nikolay Atanasov |
| 2024 | IROS | A Deep Signed Directional Distance Function for Shape Representation. | Ehsan Zobeidi, Nikolay Atanasov |
| 2023 | CoRL | Dynamic Handover: Throw and Catch with Bimanual Hands. | Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang |
| 2023 | ICRA | Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. | Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras |
| 2023 | ICRA | LEMURS: Learning Distributed Multi-Robot Interactions. | Eduardo Sebastin, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sags |
| 2023 | ICRA | Learning Continuous Control Policies for Information-Theoretic Active Perception. | Pengzhi Yang, Yuhan Liu, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov |
| 2022 | IROS | Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. | Arash Asgharivaskasi, Shumon Koga, Nikolay Atanasov |
| 2022 | IROS | WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata. | Tianyu Wang, Nikolay Atanasov |
| 2022 | IROS | DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors. | Baoqian Wang, Junfei Xie, Nikolay Atanasov |
| 2021 | ICCV | ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description. | Mo Shan, Qiaojun Feng, You-Yi Jau, Nikolay Atanasov |
| 2021 | ICRA | Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. | Arash Asgharivaskasi, Nikolay Atanasov |
| 2021 | ICRA | Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. | Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How |
| 2021 | ICRA | Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning. | Qiaojun Feng, Nikolay Atanasov |
| 2021 | IROS | Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories. | Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov |
| 2021 | IROS | CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration. | Tianyu Zhao, Qiaojun Feng, Sai Jadhav, Nikolay Atanasov |
| 2021 | ICRA | Coding for Distributed Multi-Agent Reinforcement Learning. | Baoqian Wang, Junfei Xie, Nikolay Atanasov |
| 2020 | ICRA | Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping. | Thai Duong, Nikhil Das, Michael C. Yip, Nikolay Atanasov |
| 2020 | ICRA | Fast and Safe Path-Following Control using a State-Dependent Directional Metric. | Zhichao Li, mr Arslan, Nikolay Atanasov |
| 2020 | IROS | Fully Convolutional Geometric Features for Category-level Object Alignment. | Qiaojun Feng, Nikolay Atanasov |
| 2020 | IROS | OrcVIO: Object residual constrained Visual-Inertial Odometry. | Mo Shan, Qiaojun Feng, Nikolay Atanasov |
| 2020 | IROS | Dense Incremental Metric-Semantic Mapping via Sparse Gaussian Process Regression. | Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov |
| 2020 | ICRA | Information Theoretic Active Exploration in Signed Distance Fields. | Kelsey Saulnier, Nikolay Atanasov, George J. Pappas, Vijay Kumar |
| 2020 | ICRA | Learning Navigation Costs from Demonstration in Partially Observable Environments. | Tianyu Wang, Vikas Dhiman, Nikolay Atanasov |
| 2019 | IROS | Localization and Mapping using Instance-specific Mesh Models. | Qiaojun Feng, Yue Meng, Mo Shan, Nikolay Atanasov |
| 2019 | IROS | Maximum Information Bounds for Planning Active Sensing Trajectories. | Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas |
| 2018 | ICLR | Memory Augmented Control Networks. | Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee |
| 2018 | IJCAI | A Unifying View of Geometry, Semantics, and Data Association in SLAM. | Nikolay Atanasov, Sean L. Bowman, Kostas Daniilidis, George J. Pappas |
| 2017 | CVPR | Event-Based Visual Inertial Odometry. | Alex Zihao Zhu, Nikolay Atanasov, Kostas Daniilidis |
| 2017 | ICRA | Probabilistic data association for semantic SLAM. | Sean L. Bowman, Nikolay Atanasov, Kostas Daniilidis, George J. Pappas |
| 2017 | IROS | Search-based motion planning for quadrotors using linear quadratic minimum time control. | Sikang Liu, Nikolay Atanasov, Kartik Mohta, Vijay Kumar |
| 2017 | IROS | Active end-effector pose selection for tactile object recognition through Monte Carlo tree search. | Mabel M. Zhang, Nikolay Atanasov, Kostas Daniilidis |
| 2017 | ICRA | Event-based feature tracking with probabilistic data association. | Alex Zihao Zhu, Nikolay Atanasov, Kostas Daniilidis |
| 2016 | ICRA | Optimal temporal logic planning in probabilistic semantic maps. | Jie Fu, Nikolay Atanasov, Ufuk Topcu, George J. Pappas |
| 2015 | ICRA | Decentralized active information acquisition: Theory and application to multi-robot SLAM. | Nikolay Atanasov, Jerome Le Ny, Kostas Daniilidis, George J. Pappas |
| 2014 | ECCV | Active Deformable Part Models Inference. | Menglong Zhu, Nikolay Atanasov, George J. Pappas, Kostas Daniilidis |
| 2014 | ICRA | Information acquisition with sensing robots: Algorithms and error bounds. | Nikolay Atanasov, Jerome Le Ny, Kostas Daniilidis, George J. Pappas |
| 2013 | ICRA | Hypothesis testing framework for active object detection. | Nikolay Atanasov, Bharath Sankaran, Jerome Le Ny, Thomas Koletschka, George J. Pappas, Kostas Daniilidis |
| 2012 | ICRA | Stochastic source seeking in complex environments. | Nikolay Atanasov, Jerome Le Ny, Nathan Michael, George J. Pappas |