1 citations · 1 across the 4 of their papers we have counts for
5 papers
An End-to-End Framework for Modelling Pneumatic Soft Robots Based on Differentiable Finite Element Methods
Shaohong Zhong, Yao Yao, Perla Maiolino +1
Soft robots present significant modelling challenges due to their non-linearity, complex dynamics and potentially intricate geometries. These difficulties in accurate system identi…
PneuTac: Tactile Manipulation with Soft Pneumatic Robots via Unified MPM-Gaussian Splatting Simulation
Shaohong Zhong, Marco Pontin, Joe Watson +2
Soft robots and tactile sensors have demonstrated great potential in delicate manipulation tasks. Soft pneumatic robots enable safe contact through compliance, and vision-based tac…
Improving Tactile Gesture Recognition with Optical Flow
Shaohong Zhong, Alessandro Albini, Giammarco Caroleo +2
Tactile gesture recognition systems play a crucial role in Human-Robot Interaction (HRI) by enabling intuitive communication between humans and robots. The literature mainly addres…
A Paragraph is All It Takes: Rich Robot Behaviors from Interacting, Trusted LLMs
OpenMind, Shaohong Zhong, Adam Zhou +3
Large Language Models (LLMs) are compact representations of all public knowledge of our physical environment and animal and human behaviors. The application of LLMs to robotics may…
D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation
Jun Yamada, Shaohong Zhong, Jack Collins +1
Mastering dexterous robotic manipulation of deformable objects is vital for overcoming the limitations of parallel grippers in real-world applications. Current trajectory optimisat…