Learning swimming escape patterns for larval fish under energy constraints

no code implementations • 3 May 2021 • Ioannis Mandralis, Pascal Weber, Guido Novati, Petros Koumoutsakos

The present, data efficient, reinforcement learning algorithm results in an array of patterns that reveal practical flow optimization principles for efficient swimming and the methodology can be transferred to the control of aquatic robotic devices operating under energy constraints.

reinforcement-learning Reinforcement Learning (RL) +1

Learning Efficient Navigation in Vortical Flow Fields

no code implementations • 21 Feb 2021 • Peter Gunnarson, Ioannis Mandralis, Guido Novati, Petros Koumoutsakos, John O. Dabiri

Efficient point-to-point navigation in the presence of a background flow field is important for robotic applications such as ocean surveying.

reinforcement-learning Reinforcement Learning (RL)