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Chenghua Lu

3 accepted papers

2024

AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch

CoRL 2024poster

Human hands are capable of in-hand manipulation in the presence of different hand motions. For a robot hand, harnessing rich tactile information to achieve this level of dexterity still remains a significant challenge. In this paper, we present AnyRotate, a system for gravity-invariant multi-axis in…

Cited by 19SourceScholar
2024

Learning Based Exteroception of Soft Underwater Manipulator With Soft Actuator Network

RA-L 2024

Interactions with environmental objects can induce substantial alterations in both exteroceptive and proprioceptive signals. However, the deployment of exteroceptive sensors within underwater soft manipulators encounters numerous challenges and constraints, thereby imposing limitations on their perc

Cited by 0SourceScholar
2023

A Strong Underwater Soft Manipulator With Planarly-Bundled Actuators and Accurate Position Control

RA-L 2023

Soft robotic manipulators have inherent advantages in underwater applications, as they generate motion by deforming seamless muscles rather than having rotational joints or sliding cylinders, as well as having excellent passive adaptability. However, limited by insufficient structural stiffness, ach

Cited by 7SourceScholar