Self-deployable contracting-cord metamaterials with tunable mechanical properties
Recent advances in active materials and fabrication techniques have enabled the
production of cyclically self-deployable metamaterials with an expanded functionality space …
production of cyclically self-deployable metamaterials with an expanded functionality space …
Decoding modular reconfigurable robots: A survey on mechanisms and design
The intrinsic modularity and reconfigurability of modular reconfigurable robot (MRR) systems
confer advantages such as versatility, fault tolerance, and economic efficacy, thereby …
confer advantages such as versatility, fault tolerance, and economic efficacy, thereby …
Multimodal strain sensing system for shape recognition of tensegrity structures by combining traditional regression and deep learning approaches
A tensegrity-based system is a promising approach for dynamic exploration of uneven,
unpredictable, and confined environments. However, implementing such systems presents …
unpredictable, and confined environments. However, implementing such systems presents …
Stability conditions of tensegrity structures considering local and global buckling
This study introduces an approach for assessing the stability of tensegrity structures by
examining local and global buckling behaviors. We employ the minimal coordinate to …
examining local and global buckling behaviors. We employ the minimal coordinate to …
Finite word-length optimal simulation for high-dimensional dynamical systems: Examples of tensegrity structures
This paper presents a model reduction technique to determine the optimal simulation model
for high-dimensional systems within the confines of finite word-length computing. Such an …
for high-dimensional systems within the confines of finite word-length computing. Such an …
Modular Self-Reconfigurable Continuum Robot for General Purpose Loco-Manipulation
Modular Self-Reconfigurable Robots offer exceptional adaptability and versatility through
reconfiguration, but traditional rigid robot designs lack the compliance necessary for …
reconfiguration, but traditional rigid robot designs lack the compliance necessary for …
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
Tensegrity robots are composed of rigid struts and flexible cables. They constitute an
emerging class of hybrid rigid-soft robotic systems and are promising systems for a wide …
emerging class of hybrid rigid-soft robotic systems and are promising systems for a wide …
A differentiable actuator extends potential configurations of modular robots
H Li, X Zhang, W Liang, E **ao… - Smart Materials and …, 2024 - iopscience.iop.org
Mesenchymal stem cells (MSCs) can be differentiated into various cell lineages under the
influence of mechano-niche. Inspired by this approach, this study presents a differentiable …
influence of mechano-niche. Inspired by this approach, this study presents a differentiable …
Safe multi-agent reinforcement learning for bimanual dexterous manipulation
W Zhan, P Chin - 2024 IEEE/RSJ International Conference on …, 2024 - ieeexplore.ieee.org
Bimanual dexterous manipulation in robotics, essential for a wide range of applications,
addresses the critical challenge of balancing intricate operational capabilities with assured …
addresses the critical challenge of balancing intricate operational capabilities with assured …