Nico Bohlinger

Nico Bohlinger is a PhD researcher at TU Darmstadt specializing in Intelligent Autonomous Systems. He employs Deep Reinforcement Learning (DRL) for advanced robot locomotion across diverse morphologies.

• Current focus on multi-embodiment learning
• Developing neural architectures for scalable DRL
• Experienced in humanoid and quadrupedal robots (Unitree H1, A1, Go2)

Research contributions include:

• Unified Robot Morphology Architecture (URMA)
• Zero-shot policy transfer between simulated and real-world environments
• Vertical ground perturbation analysis for locomotion robustness

His 8 publications since 2022 demonstrate expertise in cross-morphology policy learning and morphology-aware value function scaling. Nico actively supervises master's theses and teaches Robot Learning courses while leading the RL-X research framework development.