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Scalable Open-Source Visuotactile Sensor for 6-Axis Contact Wrench Estimation in Tensegrity Robots
Wenzhe Tong, Jonathan Mi, Xili Yi +2
This paper presents a scalable, open-source visuotactile sensing system for tensegrity robots that enables six-axis wrench estimation and contact detection. The proposed endcap sen…
Neural Control: Adjoint Learning Through Equilibrium Constraints
Dezhong Tong, Jiawen Wang, Hengyi Zhou +3
Many physical AI tasks require sequential implicit computation: at each step, boundary controls are applied, and the resulting configuration is obtained by solving an equilibrium p…
Tensegrity Robot Endcap-Ground Contact Estimation with Symmetry-aware Heterogeneous Graph Neural Network
Wenzhe Tong, Yicheng Jiang, Chi Zhang +2
Tensegrity robots possess lightweight and resilient structures but present significant challenges for state estimation due to compliant and distributed ground contacts. This paper…
Highly Deformable Proprioceptive Membrane for Real-Time 3D Shape Reconstruction
Guanyu Xu, Jiaqi Wang, Dezhong Tong +1
Reconstructing the three-dimensional (3D) geometry of object surfaces is essential for robot perception, yet vision-based approaches degrade under low illumination or occlusion. Th…
Rapidly Learning Soft Robot Control via Implicit Time-Stepping
Andrew Choi, Dezhong Tong, Xiaonan Huang
With the explosive growth of rigid-body simulators, policy learning in simulation has become the de facto standard for most rigid morphologies. In contrast, soft robotic simulation…
Whole-Body Proprioceptive Morphing: A Modular Soft Gripper for Robust Cross-Scale Grasping
Dong Heon Han, Xiaohao Xu, Yuxi Chen +5
Biological systems, such as the octopus, exhibit masterful cross-scale manipulation by adaptively reconfiguring their entire form, a capability that remains elusive in robotics. Co…
Morphology-Aware Graph Reinforcement Learning for Tensegrity Robot Locomotion
Chi Zhang, Mingrui Li, Wenzhe Tong +1
Tensegrity robots combine rigid rods and elastic cables, offering high resilience and deployability but at the same time posing major challenges for locomotion control due to their…
Natural Selection via Foundation Models for Soft Robot Evolution
Changhe Chen, Xiaohao Xu, Xiangdong Wang +1
Designing soft robots is a complex and iterative process that demands cross-disciplinary expertise in materials science, mechanics, and control, often relying on intuition and exte…
Impact-resistant, autonomous robots inspired by tensegrity architecture
William R. Johnson, Xiaonan Huang, Shiyang Lu +4
Future robots will navigate perilous, remote environments with resilience and autonomy. Researchers have proposed building robots with compliant bodies to enhance robustness, but t…
TALE-teller: Tendon-Actuated Linked Element Robotic Testbed for Investigating Tail Functions
Margaret J. Zhang, Anvay A. Pradhan, Zachary Brei +6
Tails serve various functions in both robotics and biology, including expression, grasping, and defense. The vertebrate tails associated with these functions exhibit diverse patter…
Tensegrity Robot Proprioceptive State Estimation with Geometric Constraints
Wenzhe Tong, Tzu-Yuan Lin, Jonathan Mi +3
Tensegrity robots, characterized by a synergistic assembly of rigid rods and elastic cables, form robust structures that are resistant to impacts. However, this design introduces c…
Design of a Variable Stiffness Quasi-Direct Drive Cable-Actuated Tensegrity Robot
Jonathan Mi, Wenzhe Tong, Yilin Ma +1
Tensegrity robots excel in tasks requiring extreme levels of deformability and robustness. However, there are challenges in state estimation and payload versatility due to their hi…
6N-DoF Pose Tracking for Tensegrity Robots
Shiyang Lu, William R. Johnson, Kun Wang +4
Tensegrity robots, which are composed of compressive elements (rods) and flexible tensile elements (e.g., cables), have a variety of advantages, including flexibility, low weight,…
Soft Lattice Modules that Behave Independently and Collectively
Luyang Zhao, Yijia Wu, Julien Blanchet +5
Natural systems integrate the work of many sub-units (cells) toward a large-scale unified goal (morphological and behavioral), which can counteract the effects of unexpected experi…