6 papers · 1 filter
Distributed Secure Learning Control for Large-scale Multirobots under Stealthy Actuator Attacks
Xinglong Zhang, Qingwen Ma, Cong Li +5
Distributed learning control for multirobot systems (MRS) offers significant flexibility in presence of uncertainties but lacks provable performance guarantees. A promising directi…
Learning Predictive Control with Deep Koopman Operators for Autonomous Vehicle Motion Planning
Xinglong Zhang, Yongqian Xiao, Haotian Cao +3
Model Predictive Control (MPC) is widely used for autonomous-vehicle (AV) motion planning, but its real-time applicability is often limited by the need for accurate models and onli…
Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations
Xinglong Zhang, Cong Li, Hangjie Mo +13
Soft-bodied organisms such as octopuses and elephant trunks exhibit remarkable morphological adaptability, dynamically reconfiguring body shape and stiffness, and flexibly adjustin…
Versatile Distributed Maneuvering with Generalized Formations using Guiding Vector Fields
Yang Lu, Sha Luo, Pengming Zhu +4
This paper presents a unified approach to realize versatile distributed maneuvering with generalized formations. Specifically, we decompose the robots' maneuvers into two independe…
Toward Scalable Multirobot Control: Fast Policy Learning in Distributed MPC
Xinglong Zhang, Wei Pan, Cong Li +4
Distributed model predictive control (DMPC) is promising in achieving optimal cooperative control in multirobot systems (MRS). However, real-time DMPC implementation relies on nume…
Vector Field-Guided Learning Predictive Control for Motion Planning of Mobile Robots with Uncertain Dynamics
Yang Lu, Weijia Yao, Yongqian Xiao +4
In obstacle-dense scenarios, providing safe guidance for mobile robots is critical to improve the safe maneuvering capability. However, the guidance provided by standard guiding ve…