• Aleksandr
    Panov
    Head of laboratory
    PhD, Associate Professor
    Email: panov.ai@mipt.ru
    Homepage - https://grafft.github.io/
    Scientific interests:
    Reinforcement learning
    Semiotics
    Cognitive robotics
    Multi-agent systems
    Behavior planning
Recent publications

1. Staroverov A. et al. Skill Fusion in Hybrid Robotic Framework for Visual Object Goal Navigation // Robotics. 2023. Vol. 12.
2. Skrynnik A. et al. When to Switch: Planning and Learning For Partially Observable Multi-Agent Pathfinding // TNNLS. 2023.
3. Sarkisyan C., Kovalev A.K., Panov A.I. Evaluation of Pretrained Large Language Models in Embodied Planning Tasks // Artificial General Intelligence. AGI 2023. Lecture Notes in Computer Science. Springer Cham, 2023. Vol. 13921. P. 222–232.
4. Pitanov Y. et al. Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results // Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science. Springer Cham, 2023. Vol. 14001. P. 649–660.
5. Kirilenko D. et al. Quantized Disentangled Representations for Object-Centric Visual Tasks // PReMI Proceedings. 2023.
6. Angulo B., Panov A., Yakovlev K. Policy Optimization to Learn Adaptive Motion Primitives in Path Planning With Dynamic Obstacles // IEEE Robotics and Automation Letters. 2023. Vol. 8, № 2. P. 824–831.
7. Yakovlev K.S. et al. Planning and Learning in Multi-Agent Path Finding // Doklady Mathematics. 2022. Vol. 106, № S1. P. S79–S84.
8. Staroverov A., Panov A. Hierarchical Landmark Policy Optimization for Visual Indoor Navigation // IEEE Access. 2022. Vol. 10. P. 70447–70455.
9. Skrynnik A. et al. Pathfinding in stochastic environments: learning vs planning // PeerJ Computer Science. 2022. Vol. 8. P. e1056.
10. Panov A.I. Simultaneous Learning and Planning in a Hierarchical Control System for a Cognitive Agent // Automation and Remote Control. 2022. Vol. 83, № 6. P. 869–883.
11. Kovalev A.K. et al. Vector Semiotic Model for Visual Question Answering // Cognitive Systems Research. 2022. Vol. 71. P. 52–63.
12. Kovalev A.K., Panov A.I. Application of Pretrained Large Language Models in Embodied Artificial Intelligence // Doklady Mathematics. 2022. Vol. 106, № S1. P. S85–S90.
13. Dzhivelikian E. et al. Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments // Brain Informatics. 2022. Vol. 9, № 1. P. 8.