Browsing: trajectory

Researchers at the University of Illinois Urbana-Champaign have developed a learning method that helps robots improve task performance while maintaining stability. The approach combines reinforcement learning with control theory to provide stability guarantees and improve tracking performance by up to 15 percent compared with existing methods. The method, called contraction-aware reinforcement learning, is designed for…