Aleksandr Panov

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 30

Top Topics

Language Understanding

Model Predictive Control

Robotic Manipulator

Top Venues

IEEE Robotics Autom. Lett.

Publications

Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov
Model-based Policy Optimization using Symbolic World Model. CoRR (2024)
Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin
Gradual Optimization Learning for Conformational Energy Minimization. ICLR (2024)
Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin S. Yakovlev, Aleksandr Panov
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation. CoRR (2024)
Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov
Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding. AAAI (2024)
Dmitry A. Yudin, Nikita Zakharenko, Artem Smetanin, Roman Filonov, Margarita Kichik, Vladislav Kuznetsov, Dmitry Larichev, Evgeny Gudov, Semen A. Budennyy, Aleksandr Panov
Hierarchical waste detection with weakly supervised segmentation in images from recycling plants. Eng. Appl. Artif. Intell. 128 (2024)
Mais Jamal, Aleksandr Panov
FFStreams: Fast Search With Streams for Autonomous Maneuver Planning. IEEE Robotics Autom. Lett. 9 (7) (2024)
Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov
Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning. AAAI (2024)
Daniil E. Kirilenko, Vitaliy Vorobyov, Alexey K. Kovalev, Aleksandr Panov
Object-Centric Learning with Slot Mixture Module. ICLR (2024)
Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov, Aleksandr Panov
Neural Potential Field for Obstacle-Aware Local Motion Planning. ICRA (2024)
Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov
Model-Based Policy Optimization with Neural Differential Equations for Robotic Arm Control. ICR (2023)
Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov
Decentralized Monte Carlo Tree Search for Partially Observable Multi-agent Pathfinding. CoRR (2023)
Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev
TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers. AAAI (2023)
Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning. CoRR (2023)
Brian Angulo, Gregory Gorbov, Aleksandr Panov, Konstantin S. Yakovlev
Evaluation of Safety Constraints in Autonomous Navigation with Deep Reinforcement Learning. CoRR (2023)
Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev, Dmitry A. Yudin, Aleksandr Panov
Interactive Semantic Map Representation for Skill-based Visual Object Navigation. CoRR (2023)
Tatiana Zemskova, Margarita Kichik, Dmitry A. Yudin, Aleksei Staroverov, Aleksandr Panov
SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment. CoRR (2023)
Maria Nesterova, Alexey Skrynnik, Aleksandr Panov
Reinforcement Learning with Success Induced Task Prioritization. CoRR (2023)
Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov, Aleksandr Panov
Neural Potential Field for Obstacle-Aware Local Motion Planning. CoRR (2023)
Anfisa A. Chuganskaya, Alexey K. Kovalev, Aleksandr Panov
The Problem of Concept Learning and Goals of Reasoning in Large Language Models. HAIS (2023)
Yelisey Pitanov, Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov
Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results. CoRR (2023)
Yelisey Pitanov, Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov
Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results. HAIS (2023)
Brian Angulo, Aleksandr Panov, Konstantin S. Yakovlev
Policy Optimization to Learn Adaptive Motion Primitives in Path Planning With Dynamic Obstacles. IEEE Robotics Autom. Lett. 8 (2) (2023)
Brian Angulo, Aleksandr Panov, Konstantin S. Yakovlev
Policy Optimization to Learn Adaptive Motion Primitives in Path Planning with Dynamic Obstacles. CoRR (2022)
Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel, Yuxuan Sun, Artem Zholus, Alexey Skrynnik, Mikhail S. Burtsev, Kavya Srinet, Aleksandr Panov, Arthur Szlam, Marc-Alexandre Côté, Julia Kiseleva
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. CoRR (2022)
Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev
TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers. CoRR (2022)
Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Hassan Awadallah, Aleksandr Panov, Mikhail S. Burtsev, Julia Kiseleva
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. CoRR (2022)
Maria Nesterova, Alexey Skrynnik, Aleksandr Panov
Reinforcement Learning with Success Induced Task Prioritization. MICAI (1) (2022)
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail S. Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Marc-Alexandre Côté, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. NeurIPS (Competition and Demos) (2021)
Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo
Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. NeurIPS (Competition and Demos) (2021)
Konstantin Mironov, Ruslan Mambetov, Aleksandr Panov, Daniil Pushkarev
Model Predictive Control with Torque Constraints for Velocity-Driven Robotic Manipulator. ICAR (2021)