Dr. Aleksei Staroverov | Robotics | Best Researcher Award

Dr. Aleksei Staroverov | Artificial Intelligence Research Institute | Russia

Dr. Aleksei Staroverov is a distinguished researcher in the field of artificial intelligence and robotics, currently serving as a Senior Research Scientist at the Artificial Intelligence Research Institute (AIRI). He has made significant contributions to the development of Vision-Language-Action (VLA) models, reinforcement learning frameworks, and embodied AI systems, focusing on bridging the gap between simulated environments and real-world robotic applications. With a strong academic and professional background, he has consistently advanced state-of-the-art methodologies, mentoring research teams, driving high-impact publications, and pushing forward innovations in multimodal AI and autonomous robotics. His work demonstrates exceptional expertise in AI-driven robotic navigation, manipulation, and simulation-based learning, positioning him as a leading figure in his research domain.

Professional Profile

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Summary of Suitability

Dr. Aleksei Staroverov is a highly accomplished researcher specializing in Artificial Intelligence, Robotics, Reinforcement Learning (RL), and Vision-Language-Action (VLA) models. His academic background, professional achievements, and impactful research contributions position him as a strong candidate for the Best Researcher Award.

Education

Dr. Aleksei Staroverov earned his Doctor of Philosophy (Ph.D.) in Artificial Intelligence from the Moscow Institute of Physics and Technology (MIPT), where he specialized in advanced reinforcement learning techniques, robotic simulation frameworks, and multimodal AI model development. His doctoral research focused on developing adaptive VLA models capable of integrating visual, linguistic, and action-driven data for real-world robotics applications. He also holds a Specialist degree in High-Energy Propulsion Systems from Bauman Moscow State Technical University, where he gained deep expertise in high-performance computational modeling and control systems. Complementing his academic qualifications, he has successfully completed certifications in Deep Learning from DeepLearning.AI and Machine Learning from Stanford University, solidifying his foundation in cutting-edge AI methodologies.

Experience

Currently a Senior Research Scientist at AIRI, Dr. Aleksei Staroverov spearheads the development of advanced Vision-Language-Action models for embodied AI, focusing on reinforcement learning-driven fine-tuning strategies for robotic navigation and manipulation. He leads research initiatives, validates novel technical approaches, and guides cross-functional teams working on simulation-to-reality transfer in robotics. Prior to this, he served as a Research Scientist at VLA Research, where his work centered on adapting multimodal transformer models for reinforcement learning-based control systems, implementing algorithms in simulated environments, and transferring them to real-world robotic platforms. Earlier in his career, he worked as a Junior Researcher at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS), contributing to the design of hierarchical reinforcement learning algorithms for solving complex navigation problems. Across these roles, he has consistently driven innovation, mentored young researchers, and contributed to high-impact advancements in the field of robotics and artificial intelligence.

Research Interests

Dr. Aleksei Staroverov research interests primarily lie at the intersection of reinforcement learning, multimodal transformer models, and embodied AI for robotics. He focuses on building advanced Vision-Language-Action frameworks capable of understanding complex real-world environments, enabling autonomous agents to perform intricate tasks with high adaptability. His work emphasizes simulation-to-real transfer, model fine-tuning, and adaptive policy learning in dynamic environments. Additionally, he explores hybrid AI architectures, integrating visual perception, natural language understanding, and motion planning to develop robust robotic systems capable of reasoning and executing context-aware actions in diverse environments.

Awards

Dr. Aleksei Staroverov has achieved remarkable recognition in the AI and robotics community, securing top honors in prestigious international competitions. He led his teams to victory at the Habitat Navigation Challenge in the ObjectNav phase and the NeurIPS MineRL competition, demonstrating exceptional expertise in developing cutting-edge algorithms for robotic navigation and reinforcement learning. These accolades highlight his capability to deliver state-of-the-art solutions to complex AI-driven robotics challenges and validate his leadership in advancing embodied intelligence research.

Publication Top Notes