Nature

Adaptive motion planning for legged robots in unstructured terrain using deep reinforcement learning

Legged robots are ideal for navigating unstructured terrain. Unlike wheeled robot platforms, legged robots maintain mobility over rocks, slopes, and uneven surfaces. However, motion planning in such ...
Nature

Machine learning-based framework for wall-perching prediction of flying robot

In contrast to the diverse landing solutions that the animals have in nature, human-made aircraft struggle when it comes to perching on vertical walls. However, traditional dynamic simulations and ...