2 papers
cs.RO2026
Learning to Adapt: Reptile-D-Learning for Robust and Efficient Control Under Parametric Uncertainty
Haipeng Cao, Zhaolong Shen, Quan Quan
Learning-based Lyapunov Control (LLC) provides formal stability guarantees for nonlinear systems, but its validity relies heavily on accurate system models. Parameter variations an…
cs.RO2026
An Efficient Real-Time Planning Method for Swarm Robotics Based on an Optimal Virtual Tube
Pengda Mao, Shuli Lv, Chen Min +2
Robot swarms navigating through unknown obstacle environments are an emerging research area that faces challenges. Performing tasks in such environments requires swarms to achieve…