معرفی
Joni Pajarinen is an Associate Professor in the Department of Electrical Engineering and Automation at Aalto University. His research focuses on reinforcement learning, robotics, and autonomous systems with applications in multi-agent coordination, control systems, and object-centric learning. He has contributed to advancements in policy optimization, imitation learning, and underwater vehicle control.
Key research areas include:
- Reinforcement learning algorithms for robotics
- Multi-agent systems and cooperative control
- Autonomous underwater vehicle navigation
- Machine learning for industrial applications
His recent work emphasizes scalable reinforcement learning frameworks, such as AgentMixer for correlated policy factorization and entropy-regularized task representations. He explores vision-language models (e.g., RGB-Th-Bench) and large-scale motion datasets (RP1M) for humanoid robotics.
Publications span top venues like AAAI, ICLR, and IEEE Robotics and Automation Letters. His research bridges theory and real-world applications in robotics, marine engineering, and manufacturing automation.
