Team Organization and Participation in the Eurobot 2012 Contest. - László Csaba Burkodi; Tamás Gábor Kiss; Dániel Varga; István Vajk; Péter Karkus (ACE, 2013)

The RobonAUT Robot Construction Contest in 2013. - Tamás Gábor Kiss; László Csaba Burkodi; Dániel Varga; István Vajk; Péter Karkus (ACE, 2013)

On-chip generation and demultiplexing of quantum correlated photons using silicon-silica monolithic waveguide platform. - Nobuyuki Matsuda; Péter Karkus; Hidetaka Nishi; Tai Tsuchizawa; William J. Munro; Hiroki Takesue; Koji Yamada (ECOC, 2014)

Recursive Constraint Manifold Subsearch for Multirobot Path Planning with Cooperative Tasks. - Péter Karkus; Glenn Wagner; Howie Choset (SOCS, 2016)

Factored Contextual Policy Search with Bayesian Optimization. - Péter Karkus; Andras Gabor Kupcsik; David Hsu; Wee Sun Lee (CoRR, 2016)

QMDP-Net: Deep Learning for Planning under Partial Observability. - Péter Karkus; David Hsu; Wee Sun Lee (NIPS, 2017)

Particle Filter Networks with Application to Visual Localization. - Péter Karkus; David Hsu; Wee Sun Lee (CoRL, 2018)

Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. - Péter Karkus; David Hsu; Wee Sun Lee (CoRR, 2018)

Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. - Péter Karkus; David Hsu; Wee Sun Lee (CoRR, 2018)

Factored Contextual Policy Search with Bayesian optimization. - Robert Pinsler; Péter Karkus; Andras Gabor Kupcsik; David Hsu; Wee Sun Lee (ICRA, 2019)

Differentiable Algorithm Networks for Composable Robot Learning. - Péter Karkus; Xiao Ma 006; David Hsu; Leslie Pack Kaelbling; Wee Sun Lee; Tomás Lozano-Pérez (Robotics: Science and Systems, 2019)

Particle Filter Recurrent Neural Networks. - Xiao Ma 006; Péter Karkus; David Hsu; Wee Sun Lee (AAAI, 2020)

Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. - Xiao Ma 006; Péter Karkus; David Hsu; Wee Sun Lee; Nan Ye (ICLR, 2020)

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. - Péter Karkus; Anelia Angelova; Vincent Vanhoucke; Rico Jonschkowski (ICRA, 2020)

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. - Mehdi Mirza; Andrew Jaegle; Jonathan J. Hunt; Arthur Guez; Saran Tunyasuvunakool; Alistair Muldal; Théophane Weber; Péter Karkus; Sébastien Racanière; Lars Buesing; Timothy P. Lillicrap; Nicolas Heess (CoRR, 2020)

Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban. - Péter Karkus; Mehdi Mirza; Arthur Guez; Andrew Jaegle; Timothy P. Lillicrap; Lars Buesing; Nicolas Heess; Theophane Weber (CoRR, 2020)

Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. - Péter Karkus; Shaojun Cai; David Hsu (CVPR, 2021)

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. - Péter Karkus; Boris Ivanovic; Shie Mannor; Marco Pavone 001 (CoRL, 2022)

Foundation Models for Semantic Novelty in Reinforcement Learning. - Tarun Gupta 002; Péter Karkus; Tong Che; Danfei Xu; Marco Pavone 001 (CoRR, 2022)

Tree-structured Policy Planning with Learned Behavior Models. - Yuxiao Chen 008; Péter Karkus; Boris Ivanovic; Xinshuo Weng; Marco Pavone 001 (ICRA, 2023)

Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. - Filippos Christianos; Péter Karkus; Boris Ivanovic; Stefano V. Albrecht; Marco Pavone 001 (ICRA, 2023)

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. - Sushant Veer; Karen Leung; Ryan K. Cosner; Yuxiao Chen 008; Péter Karkus; Marco Pavone 001 (ICRA, 2023)

Partial-View Object View Synthesis via Filtered Inversion. - Fan-Yun Sun; Jonathan Tremblay; Valts Blukis; Kevin Lin; Danfei Xu; Boris Ivanovic; Péter Karkus; Stan Birchfield; Dieter Fox; Ruohan Zhang; Yunzhu Li; Jiajun Wu 001; et al. (CoRR, 2023)

Interactive Motion Planning for Autonomous Vehicles with Joint Optimization. - Yuxiao Chen 008; Sushant Veer; Péter Karkus; Marco Pavone 001 (CoRR, 2023)

Partial-View Object View Synthesis via Filtering Inversion. - Fan-Yun Sun; Jonathan Tremblay; Valts Blukis; Kevin Lin; Danfei Xu; Boris Ivanovic; Péter Karkus; Stan Birchfield; Dieter Fox; Ruohan Zhang; Yunzhu Li; Jiajun Wu 001; et al. (3DV, 2024)

System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. - Sampada Deglurkar; Haotian Shen; Anish Muthali; Marco Pavone 001; Dragos D. Margineantu; Péter Karkus; Boris Ivanovic; Claire J. Tomlin (CDC, 2024)

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. - Zhiyu Huang; Péter Karkus; Boris Ivanovic; Yuxiao Chen 008; Marco Pavone 001; Chen Lv (ICRA, 2024)

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. - Letian Wang; Seung Wook Kim 001; Jiawei Yang 002; Cunjun Yu; Boris Ivanovic; Steven L. Waslander; Yue Wang 041; Sanja Fidler; Marco Pavone 001; Péter Karkus (NeurIPS, 2024)

LoRD: Adapting Differentiable Driving Policies to Distribution Shifts. - Christopher Diehl; Péter Karkus; Sushant Veer; Marco Pavone 001; Torsten Bertram (CoRR, 2024)

Learning Multiple Initial Solutions to Optimization Problems. - Elad Sharony; Heng Yang; Tong Che; Marco Pavone 001; Shie Mannor; Péter Karkus (CoRR, 2024)

Interactive Joint Planning for Autonomous Vehicles. - Yuxiao Chen 001; Sushant Veer; Péter Karkus; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2024)

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. - Zhejun Zhang; Péter Karkus; Maximilian Igl; Wenhao Ding; Yuxiao Chen 008; Boris Ivanovic; Marco Pavone 001 (CVPR, 2025)

STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes. - Jiawei Yang 002; Jiahui Huang; Boris Ivanovic; Yuxiao Chen 008; Yan Wang 051; Boyi Li; Yurong You; Apoorva Sharma; Maximilian Igl; Péter Karkus; Danfei Xu; Yue Wang 041; et al. (ICLR, 2025)

Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions. - Letian Wang; Marc-Antoine Lavoie; Sandro Papais; Barza Nisar; Yuxiao Chen 008; Wenhao Ding; Boris Ivanovic; Hao Shao; Abulikemu Abuduweili; Evan Cook; Yang Zhou 019; Péter Karkus; et al. (CoRR, 2025)