Alexander Dittrich

Alexander Dittrich is a doctoral researcher at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Laboratory of Intelligent Systems. His work focuses on Hebbian learning, bio-inspired neural network architectures, and the simulation of tensegrity robots, with applications in deep reinforcement learning, meta learning, and neuroevolution.

Recent publications include: (1) a 2025 RoboSoft paper on tensegrity-based robotic legs with variable stiffness (a Best Paper Finalist), and (2) a 2023 ICRA paper on the AIMY table tennis ball launcher's high-level trajectory control system. These projects reflect his expertise in merging adaptive AI with soft robotics.

• Awards: Best Paper Finalist, RoboSoft 2025