Articles

Robust Formation Control for Multiple Underwater Vehicles

in Multi-Robot Systems

• Charalampos P. Bechlioulis
• Fotis Giagkas
• George C. Karras
• Kostas J. Kyriakopoulos

A Formation Control Method for AUV Group Under Communication Delay

in Bionics and Biomimetics

• Yuepeng Chen
• Xuan Guo
• Guangyu Luo
• Guangwu Liu

Multi-consensus formation control by artificial potential field based on velocity threshold

in Decision Neuroscience

• Xiaofei Chang
• 佳玥 焦
• Yuenan Li
• Bei Hong

Planar Formation Control of a School of Robotic Fish: Theory and Experiments

in Control and Automation Systems

• Derek A. Paley
• Anthony A. Thompson
• Artur Wolek
• Paul Ghanem

A Distributed Multi-Agent Formation Control Method Based on Deep Q Learning

• Nianhao Xie
• Yunpeng Hu
• Lei Chen

Bearing-Only Adaptive Formation Control Using Back-Stepping Method

in Nonlinear Control

• Sulong Li
• Qin Wang
• Enci Wang
• Yangyang Chen

Distributed model-free formation control of networked fully-actuated autonomous surface vehicles

• Xiaobing Niu
• Shengnan Gao
• Zhibin Xu
• Shiliang Feng

Robust affine maneuver formation control based of second-order multi-agent grid inspection systems

in Smart Grids

• Peng Zhang
• Dengjun Ma
• Peng Liu
• Mengwei Li

Adaptive terminal sliding mode control for USV-ROVs formation under deceptive attacks

in Ocean Observation

• Qiang Zhang
• Sihang Zhang
• Yang Liu
• Yan Zhang
• Yancai Hu

End-to-end decentralized formation control using a graph neural network-based learning method

in Multi-Robot Systems

• Chao Jiang
• Xinchi Huang
• Yi Guo

Distributed cooperative Kalman filter constrained by advection–diffusion equation for mobile sensor networks

in Field Robotics

• Ziqiao Zhang
• Scott T. Mayberry
• Wencen Wu
• Fumin Zhang

Optimization of multi-vehicle obstacle avoidance based on improved artificial potential field method with PID control

in Energy Storage

• Weigang Yan
• Xi Wu
• Guanghong Liang

Adaptive formation learning control for cooperative AUVs under complete uncertainty

in Robot Learning and Evolution

• Emadodin Jandaghi
• Mingxi Zhou
• Paolo Stegagno
• Chengzhi Yuan