Hari Teja Kalidindi

Controlling Soft Robotic Arms Using Continual Learning

Learning-based modeling and control of soft robots is advantageous due to neural network’s ability to capture complex dynamical effects with low computational cost. Continual Learning techniques add further value to these methods by allowing networks to learn from continuously available data without