5 papers
Embodied Snap: Octopus-Inspired Distributed Reach-and-Attach with a Speed-Limited Soft Arm
Linxin Hou, Zhihang Qin, Heyang Zou +5
Reach-and-attach of soft robotic arms with passive suction requires accurate targeting and sufficient contact speed, yet geared actuators can impose a speed limit that improved tra…
Cosserat Modeling of Trimmed Helicoid Soft Arms with a Separated-Section Constitutive Law
Zhihang Qin, Linxin Hou, Zeyu Zhong +10
Cosserat rod models for soft robots usually construct sectional stiffness by summing material properties over a common cross-section. This assumption becomes inaccurate for trimmed…
Octopus-inspired Distributed Control for Soft Robotic Arms: A Graph Neural Network-Based Attention Policy with Environmental Interaction
Linxin Hou, Qirui Wu, Zhihang Qin +2
This paper proposes SoftGM, an octopus-inspired distributed control architecture for segmented soft robotic arms that learn to reach targets in contact-rich environments using onli…
Source-Free Bistable Fluidic Gripper for Size-Selective and Stiffness-Adaptive Grasping
Zhihang Qin, Yueheng Zhang, Wan Su +5
Conventional fluid-driven soft grippers typically depend on external sources, which limit portability and long-term autonomy. This work introduces a self-contained soft gripper wit…
A Quantitative Comparison of Centralised and Distributed Reinforcement Learning-Based Control for Soft Robotic Arms
Linxin Hou, Qirui Wu, Zhihang Qin +3
This paper presents a quantitative comparison between centralised and distributed multi-agent reinforcement learning (MARL) architectures for controlling a soft robotic arm modelle…