5 papers
Deep Reinforcement Learning-Enhanced Event-Triggered Data-Driven Predictive Control for a 3D Cable-Driven Soft Robotic Arm
Cheng Ouyang, Moeen Ul Islam, Kaixiang Zhang +3
Soft robots are challenging to control due to their nonlinear and time-varying dynamics. Data-enabled predictive control (DeePC) offers a model-free alternative by directly leverag…
Direct Data-Driven Predictive Control for a Three-dimensional Cable-Driven Soft Robotic Arm
Cheng Ouyang, Moeen Ul Islam, Dong Chen +3
Soft robots offer significant advantages in safety and adaptability, yet achieving precise and dynamic control remains a major challenge due to their inherently complex and nonline…
A Novel Modular Cable-Driven Soft Robotic Arm with Multi-Segment Reconfigurability
Moeen Ul Islam, Cheng Ouyang, Xinda Qi +3
This paper presents a novel, modular, cable-driven soft robotic arm featuring multi-segment reconfigurability. The proposed architecture enables a stackable system with independent…
DiSA-IQL: Offline Reinforcement Learning for Robust Soft Robot Control under Distribution Shifts
Linjin He, Xinda Qi, Dong Chen +2
Soft snake robots offer remarkable flexibility and adaptability in complex environments, yet their control remains challenging due to highly nonlinear dynamics. Existing model-base…
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond
Jiajia Li, Xinda Qi, Seyed Hamidreza Nabaei +5
Plant phenotyping plays a pivotal role in understanding plant traits and their interactions with the environment, making it crucial for advancing precision agriculture and crop imp…