Assessment of Dendritic Cell Therapy Effectiveness Based on the Feature Extraction from Scientific Publications. - Alexey Yu. Lupatov; Alexander I. Panov; Roman E. Suvorov; Alexander V. Shvets; Konstantin N. Yarygin; Galina D. Volkova (ICPRAM (2), 2015)

Behavior and Path Planning for the Coalition of Cognitive Robots in Smart Relocation Tasks. - Aleksandr I. Panov; Konstantin S. Yakovlev (RiTA, 2015)

Psychologically Inspired Planning Method for Smart Relocation Task. - Aleksandr I. Panov; Konstantin S. Yakovlev (BICA, 2016)

A framework for automated meta-analysis: Dendritic cell therapy case study. - A. A. Boyko; A. M. Kaidina; Y. C. Kim; Alexey Yu. Lupatov; Alexander I. Panov; Roman E. Suvorov; Alexander V. Shvets (IEEE Conf. on Intelligent Systems, 2016)

Multilayer cognitive architecture for UAV control. - Stanislav V. Emel'yanov; Dmitry Makarov; Aleksandr I. Panov; Konstantin S. Yakovlev (Cogn. Syst. Res., 2016)

Grid Path Planning with Deep Reinforcement Learning: Preliminary Results. - Aleksandr I. Panov; Konstantin S. Yakovlev; Roman E. Suvorov (BICA, 2017)

Synthesis of the Behavior Plan for Group of Robots with Sign Based World Model. - Gleb A. Kiselev; Aleksandr I. Panov (ICR, 2017)

Task and Spatial Planning by the Cognitive Agent with Human-Like Knowledge Representation. - Ermek Aitygulov; Gleb A. Kiselev; Aleksandr I. Panov (ICR, 2018)

Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering. - Aleksandr I. Panov; Aleksey Skrynnik (CoRR, 2018)

Mental Actions and Modelling of Reasoning in Semiotic Approach to AGI. - Alexey K. Kovalev; Aleksandr I. Panov (AGI, 2019)

Hierarchical Reinforcement Learning Approach for the Road Intersection Task. - Maxim Shikunov; Aleksandr I. Panov (BICA, 2019)

Hierarchical Psychologically Inspired Planning for Human-Robot Interaction Tasks. - Gleb A. Kiselev; Aleksandr I. Panov (ICR, 2019)

Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes. - Ali Younes; Aleksandr I. Panov (RAAI Summer School, 2019)

Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft. - Alexey Skrynnik; Aleksey Staroverov; Ermek Aitygulov; Kirill Aksenov; Vasilii Davydov; Aleksandr I. Panov (CoRR, 2019)

Delta Schema Network in Model-Based Reinforcement Learning. - Andrey Gorodetskiy; Alexandra Shlychkova; Aleksandr I. Panov (AGI, 2020)

Hyperdimensional Representations in Semiotic Approach to AGI. - Alexey K. Kovalev; Aleksandr I. Panov; Evgeny Osipov (AGI, 2020)

Q-Learning of Spatial Actions for Hierarchical Planner of Cognitive Agents. - Gleb A. Kiselev; Aleksandr I. Panov (ICR, 2020)

Navigating Autonomous Vehicle at the Road Intersection Simulator with Reinforcement Learning. - Michael Martinson; Alexey Skrynnik; Aleksandr I. Panov (RCAI, 2020)

Real-Time Object Navigation With Deep Neural Networks and Hierarchical Reinforcement Learning. - Aleksey Staroverov; Dmitry A. Yudin; Ilya Belkin; Vasily Adeshkin; Yaroslav K. Solomentsev; Aleksandr I. Panov (IEEE Access, 2020)

Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations. - Alexey Skrynnik; Aleksey Staroverov; Ermek Aitygulov; Kirill Aksenov; Vasilii Davydov; Aleksandr I. Panov (CoRR, 2020)

Case-Based Task Generalization in Model-Based Reinforcement Learning. - Artem Zholus; Aleksandr I. Panov (AGI, 2021)

Intrinsic Motivation to Learn Action-State Representation with Hierarchical Temporal Memory. - Evgenii Dzhivelikian; Artem Latyshev; Petr Kuderov; Aleksandr I. Panov (BI, 2021)

Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog. - Alexey K. Kovalev; Makhmud Shaban; Anfisa A. Chuganskaya; Aleksandr I. Panov (HAIS, 2021)

Planning with Hierarchical Temporal Memory for Deterministic Markov Decision Problem. - Petr Kuderov; Aleksandr I. Panov (ICAART (2), 2021)

Flexible Data Augmentation in Off-Policy Reinforcement Learning. - Alexandra Rak; Alexey Skrynnik; Aleksandr I. Panov (ICAISC (1), 2021)

Model Predictive Control with Torque Constraints for Velocity-Driven Robotic Manipulator. - Konstantin Mironov; Ruslan Mambetov; Aleksandr I. Panov; Daniil Pushkarev (ICAR, 2021)

Question Answering for Visual Navigation in Human-Centered Environments. - Daniil E. Kirilenko; Alexey K. Kovalev; Evgeny Osipov; Aleksandr I. Panov (MICAI (2), 2021)

Long-Term Exploration in Persistent MDPs. - Leonid Ugadiarov; Alexey Skrynnik; Aleksandr I. Panov (MICAI (1), 2021)

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. - Julia Kiseleva; Ziming Li 001; Mohammad Aliannejadi; Shrestha Mohanty; Maartje ter Hoeve; Mikhail Burtsev 001; Alexey Skrynnik; Artem Zholus; Aleksandr Panov; Kavya Srinet; Arthur Szlam; Yuxuan Sun 004; et al. (NeurIPS (Competition and Demos), 2021)

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (NeurIPS (Competition and Demos), 2021)

Q-Mixing Network for Multi-agent Pathfinding in Partially Observable Grid Environments. - Vasilii Davydov; Alexey Skrynnik; Konstantin S. Yakovlev; Aleksandr I. Panov (RCAI, 2021)

Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform. - Mais Jamal; Aleksandr I. Panov (SGAI Conf., 2021)

Hybrid Policy Learning for Multi-Agent Pathfinding. - Alexey Skrynnik; Alexandra Yakovleva; Vasilii Davydov; Konstantin S. Yakovlev; Aleksandr I. Panov (IEEE Access, 2021)

Hierarchical Deep Q-Network from imperfect demonstrations in Minecraft. - Alexey Skrynnik; Aleksey Staroverov; Ermek Aitygulov; Kirill Aksenov; Vasilii Davydov; Aleksandr I. Panov (Cogn. Syst. Res., 2021)

Landmark Policy Optimization for Object Navigation Task. - Aleksey Staroverov; Aleksandr I. Panov (CoRR, 2021)

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. - Julia Kiseleva; Ziming Li 001; Mohammad Aliannejadi; Shrestha Mohanty; Maartje ter Hoeve; Mikhail Burtsev 001; Alexey Skrynnik; Artem Zholus; Aleksandr I. Panov; Kavya Srinet; Arthur Szlam; Yuxuan Sun 004; et al. (CoRR, 2021)

Multitask Adaptation by Retrospective Exploration with Learned World Models. - Artem Zholus; Aleksandr I. Panov (CoRR, 2021)

Forgetful experience replay in hierarchical reinforcement learning from expert demonstrations. - Alexey Skrynnik; Aleksey Staroverov; Ermek Aitygulov; Kirill Aksenov; Vasilii Davydov; Aleksandr I. Panov (Knowl. Based Syst., 2021)

Graph Strategy for Interpretable Visual Question Answering. - Christina Sarkisyan; Mikhail Savelov; Alexey K. Kovalev; Aleksandr I. Panov (AGI, 2022)

Stability and Similarity Detection for the Biologically Inspired Temporal Pooler Algorithms. - Ivan Rodkin; Petr Kuderov; Aleksandr I. Panov (BICA*AI, 2022)

HPointLoc: Point-Based Indoor Place Recognition Using Synthetic RGB-D Images. - Dmitry A. Yudin; Yaroslav K. Solomentsev; Ruslan Musaev; Aleksei Staroverov; Aleksandr I. Panov (ICONIP (3), 2022)

Vector Symbolic Scene Representation for Semantic Place Recognition. - Daniil E. Kirilenko; Alexey K. Kovalev; Yaroslav K. Solomentsev; Alexander Melekhin; Dmitry A. Yudin; Aleksandr I. Panov (IJCNN, 2022)

Reinforcement Learning with Success Induced Task Prioritization. - Maria Nesterova; Alexey Skrynnik; Aleksandr Panov (MICAI (1), 2022)

Simultaneous Learning and Planning in a Hierarchical Control System for a Cognitive Agent. - Aleksandr I. Panov (Autom. Remote. Control., 2022)

Hierarchical Landmark Policy Optimization for Visual Indoor Navigation. - Aleksey Staroverov; Aleksandr I. Panov (IEEE Access, 2022)

Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments. - Evgenii Dzhivelikian; Artem Latyshev; Petr Kuderov; Aleksandr I. Panov (Brain Informatics, 2022)

Vector Semiotic Model for Visual Question Answering. - Alexey K. Kovalev; Makhmud Shaban; Evgeny Osipov; Aleksandr I. Panov (Cogn. Syst. Res., 2022)

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (CoRR, 2022)

IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents. - Artem Zholus; Alexey Skrynnik; Shrestha Mohanty; Zoya Volovikova; Julia Kiseleva; Arthur Szlam; Marc-Alexandre Côté; Aleksandr I. Panov (CoRR, 2022)

POGEMA: Partially Observable Grid Environment for Multiple Agents. - Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr I. Panov (CoRR, 2022)

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. - Alexey Skrynnik; Zoya Volovikova; Marc-Alexandre Côté; Anton Voronov; Artem Zholus; Negar Arabzadeh; Shrestha Mohanty; Milagro Teruel; Ahmed Awadallah 001; Aleksandr Panov; Mikhail Burtsev 001; Julia Kiseleva (CoRR, 2022)

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. - Shrestha Mohanty; Negar Arabzadeh; Milagro Teruel; Yuxuan Sun 004; Artem Zholus; Alexey Skrynnik; Mikhail Burtsev 001; Kavya Srinet; Aleksandr Panov; Arthur Szlam; Marc-Alexandre Côté; Julia Kiseleva (CoRR, 2022)

Pathfinding in stochastic environments: learning vs planning. - Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr I. Panov (PeerJ Comput. Sci., 2022)

TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers. - Daniil E. Kirilenko; Anton Andreychuk; Aleksandr Panov; Konstantin S. Yakovlev (AAAI, 2023)

Evaluation of Pretrained Large Language Models in Embodied Planning Tasks. - Christina Sarkisyan; Alexandr Korchemnyi; Alexey K. Kovalev; Aleksandr I. Panov (AGI, 2023)

Stabilize Sequential Data Representation via Attraction Module. - Petr Kuderov; Evgenii Dzhivelikian; Aleksandr I. Panov (BI, 2023)

The Problem of Concept Learning and Goals of Reasoning in Large Language Models. - Anfisa A. Chuganskaya; Alexey K. Kovalev; Aleksandr Panov (HAIS, 2023)

Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results. - Yelisey Pitanov; Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr Panov (HAIS, 2023)

Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems. - Zoya Volovikova; Petr Kuderov; Aleksandr I. Panov (ICONIP (9), 2023)

Model-Based Policy Optimization with Neural Differential Equations for Robotic Arm Control. - Andrey Gorodetskiy; Konstantin Mironov; Aleksandr Panov (ICR, 2023)

Quantized Disentangled Representations for Object-Centric Visual Tasks. - Daniil E. Kirilenko; Alexandr Korchemnyi; Konstantin Smirnov; Alexey K. Kovalev; Aleksandr I. Panov (PReMI, 2023)

Fine-Tuning Multimodal Transformer Models for Generating Actions in Virtual and Real Environments. - Aleksei Staroverov; Andrey S. Gorodetsky; Andrei S. Krishtopik; Uliana A. Izmesteva; Dmitry A. Yudin; Alexey K. Kovalev; Aleksandr I. Panov (IEEE Access, 2023)

Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review. - Artem Latyshev; Aleksandr I. Panov (CoRR, 2023)

Recurrent Memory Decision Transformer. - Arkadii Bessonov; Alexey Staroverov; Huzhenyu Zhang; Alexey K. Kovalev; Dmitry A. Yudin; Aleksandr I. Panov (CoRR, 2023)

Evaluation of Safety Constraints in Autonomous Navigation with Deep Reinforcement Learning. - Brian Angulo; Gregory Gorbov; Aleksandr Panov; Konstantin S. Yakovlev (CoRR, 2023)

Learning Successor Representations with Distributed Hebbian Temporal Memory. - Evgenii Dzhivelikian; Petr Kuderov; Aleksandr I. Panov (CoRR, 2023)

Graphical Object-Centric Actor-Critic. - Leonid Ugadiarov; Aleksandr I. Panov (CoRR, 2023)

Gradual Optimization Learning for Conformational Energy Minimization. - Artem Tsypin; Leonid Ugadiarov; Kuzma Khrabrov; Manvel Avetisian; Alexander Telepov; Egor Rumiantsev; Alexey Skrynnik; Aleksandr I. Panov; Dmitry P. Vetrov; Elena Tutubalina; Artur Kadurin (CoRR, 2023)

Policy Optimization to Learn Adaptive Motion Primitives in Path Planning With Dynamic Obstacles. - Brian Angulo; Aleksandr Panov; Konstantin S. Yakovlev (IEEE Robotics Autom. Lett., 2023)

Skill Fusion in Hybrid Robotic Framework for Visual Object Goal Navigation. - Aleksei Staroverov; Kirill Muravyev; Konstantin S. Yakovlev; Aleksandr I. Panov (Robotics, 2023)

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning. - Alexey Skrynnik; Anton Andreychuk; Maria Nesterova; Konstantin S. Yakovlev; Aleksandr Panov (AAAI, 2024)

Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding. - Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr Panov (AAAI, 2024)

Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments. - Zoya Volovikova; Alexey Skrynnik; Petr Kuderov; Aleksandr I. Panov (ECAI, 2024)

Reframing: Detector-Specific Prompt Tuning for Enhancing Open-Vocabulary Object Detection. - Mikhail Avshalumov; Zoya Volovikova; Dmitry A. Yudin; Aleksandr I. Panov (HAIS (2), 2024)

Common Sense Plan Verification with Large Language Models. - Danil S. Grigorev; Alexey K. Kovalev; Aleksandr I. Panov (HAIS (2), 2024)

Soft Adaptive Segments for Bio-Inspired Temporal Memory. - Artem Prokhorenko; Evgenii Dzhivelikian; Petr Kuderov; Aleksandr Panov (HAIS (1), 2024)

Object-Centric Learning with Slot Mixture Module. - Daniil E. Kirilenko; Vitaliy Vorobyov; Alexey K. Kovalev; Aleksandr Panov (ICLR, 2024)

Gradual Optimization Learning for Conformational Energy Minimization. - Artem Tsypin; Leonid Ugadiarov; Kuzma Khrabrov; Alexander Telepov; Egor Rumiantsev; Alexey Skrynnik; Aleksandr Panov; Dmitry P. Vetrov; Elena Tutubalina; Artur Kadurin (ICLR, 2024)

Stabilizing Manipulator Trajectory via Collision-Aware Optimization. - Elena Rubleva; Konstantin Mironov; Aleksandr Panov (ICR, 2024)

Neural Potential Field for Obstacle-Aware Local Motion Planning. - Muhammad Alhaddad; Konstantin Mironov; Aleksey Staroverov; Aleksandr Panov (ICRA, 2024)

Model-based Policy Optimization using Symbolic World Model. - Andrey Gorodetskiy; Konstantin Mironov; Aleksandr Panov (IROS, 2024)

Latent State Space Quantization for Learning and Exploring Goals. - Artem Latyshev; Aleksandr I. Panov (MICAI (1), 2024)

Interactive Semantic Map Representation for Skill-Based Visual Object Navigation. - Tatiana Zemskova; Aleksei Staroverov; Kirill Muravyev; Dmitry A. Yudin; Aleksandr I. Panov (IEEE Access, 2024)

Hebbian spatial encoder with adaptive sparse connectivity. - Petr Kuderov; Evgenii Dzhivelikian; Aleksandr I. Panov (Cogn. Syst. Res., 2024)

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation. - Alexey Skrynnik; Anton Andreychuk; Anatolii Borzilov; Alexander Chernyavskiy; Konstantin S. Yakovlev; Aleksandr Panov (CoRR, 2024)

Safe Policy Exploration Improvement via Subgoals. - Brian Angulo; Gregory Gorbov; Aleksandr Panov; Konstantin S. Yakovlev (CoRR, 2024)

Maneuver Decision-Making with Trajectory Streams Prediction for Autonomous Vehicles. - Mais Jamal; Aleksandr Panov (CoRR, 2024)

Dynamic Neural Potential Field: Online Trajectory Optimization in Presence of Moving Obstacles. - Aleksey Staroverov; Muhammad Alhaddad; Aditya Narendra; Konstantin Mironov; Aleksandr Panov (CoRR, 2024)

Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation. - Egor Cherepanov; Nikita Kachaev; Artem Zholus; Alexey K. Kovalev; Aleksandr I. Panov (CoRR, 2024)

Symbolic Disentangled Representations for Images. - Alexandr Korchemnyi; Alexey K. Kovalev; Aleksandr I. Panov (CoRR, 2024)

Hierarchical waste detection with weakly supervised segmentation in images from recycling plants. - Dmitry A. Yudin; Nikita Zakharenko; Artem Smetanin; Roman Filonov; Margarita Kichik; Vladislav Kuznetsov; Dmitry Larichev; Evgeny Gudov; Semen A. Budennyy; Aleksandr Panov (Eng. Appl. Artif. Intell., 2024)

Sign-based image criteria for social interaction visual question answering. - Anfisa A. Chuganskaya; Alexey K. Kovalev; Aleksandr I. Panov (Log. J. IGPL, 2024)

FFStreams: Fast Search With Streams for Autonomous Maneuver Planning. - Mais Jamal; Aleksandr Panov (IEEE Robotics Autom. Lett., 2024)

When to Switch: Planning and Learning for Partially Observable Multi-Agent Pathfinding. - Alexey Skrynnik; Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr I. Panov (IEEE Trans. Neural Networks Learn. Syst., 2024)

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale. - Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr Panov; Alexey Skrynnik (AAAI, 2025)

AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment. - Anastasiia Ivanova; Eva Bakaeva; Zoya Volovikova; Alexey K. Kovalev; Aleksandr Panov (ACL (1), 2025)

CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World. - Zoya Volovikova; Gregory Gorbov; Petr Kuderov; Aleksandr Panov; Alexey Skrynnik (ACL (1), 2025)

Temporal Predictive Coding as World Model for Reinforcement Learning. - Artem Prokhorenko; Petr Kuderov; Evgenii Dzhivelikian; Aleksandr Panov (AGI (2), 2025)

Relational Object-Centric Actor-Critic. - Leonid Ugadiarov; Vitaliy Vorobyov; Aleksandr Panov (CLeaR, 2025)

Learning Successor Features with Distributed Hebbian Temporal Memory. - Evgenii Aleksandrovich Dzhivelikian; Petr Kuderov; Aleksandr Panov (ICLR, 2025)

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding. - Alexey Skrynnik; Anton Andreychuk; Anatolii Borzilov; Alexander Chernyavskiy; Konstantin S. Yakovlev; Aleksandr Panov (ICLR, 2025)

Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning. - Anatolii Borzilov; Alexey Skrynnik; Aleksandr Panov (IEEE Access, 2025)

Generative models for grid-based and image-based pathfinding. - Daniil E. Kirilenko; Anton Andreychuk; Aleksandr I. Panov; Konstantin S. Yakovlev (Artif. Intell., 2025)

Applying opponent and environment modelling in decentralised multi-agent reinforcement learning. - Alexander Chernyavskiy; Alexey Skrynnik; Aleksandr Panov (Cogn. Syst. Res., 2025)

Polygon decomposition for obstacle representation in motion planning with Model Predictive Control. - Aleksey Logunov; Muhammad Alhaddad; Konstantin Mironov; Konstantin S. Yakovlev; Aleksandr Panov (Eng. Appl. Artif. Intell., 2025)

SegmATRon: Embodied adaptive semantic segmentation for indoor environment. - Tatiana Zemskova; Margarita Kichik; Dmitry A. Yudin; Aleksei Staroverov; Aleksandr Panov (Neurocomputing, 2025)

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning. - Egor Cherepanov; Nikita Kachaev; Alexey K. Kovalev; Aleksandr I. Panov (CoRR, 2025)

TOCALib: Optimal control library with interpolation for bimanual manipulation and obstacles avoidance. - Yulia Danik; Dmitry Makarov; Aleksandra Arkhipova; Sergei Davidenko; Aleksandr Panov (CoRR, 2025)

SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement Learning. - Nikita Oskolkov; Huzhenyu Zhang; Dmitry Makarov; Dmitry A. Yudin; Aleksandr Panov (CoRR, 2025)

Safe Planning and Policy Optimization via World Model Learning. - Artem Latyshev; Gregory Gorbov; Aleksandr I. Panov (CoRR, 2025)

M3PO: Massively Multi-Task Model-Based Policy Optimization. - Aditya Narendra; Dmitry Makarov; Aleksandr Panov (CoRR, 2025)

Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning. - Anton Andreychuk; Konstantin S. Yakovlev; Aleksandr Panov; Alexey Skrynnik (CoRR, 2025)

VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots. - Danil S. Grigorev; Alexey K. Kovalev; Aleksandr I. Panov (CoRR, 2025)

LERa: Replanning with Visual Feedback in Instruction Following. - Svyatoslav Pchelintsev; Maxim Patratskiy; Anatoly Onishchenko; Alexandr Korchemnyi; Aleksandr Medvedev; Uliana Vinogradova; Ilya Galuzinsky; Aleksey Postnikov; Alexey K. Kovalev; Aleksandr I. Panov (CoRR, 2025)