Search Results for author: Quang-Cuong Pham

Found 6 papers, 2 papers with code

Stable Modular Control via Contraction Theory for Reinforcement Learning

no code implementations7 Nov 2023 Bing Song, Jean-Jacques Slotine, Quang-Cuong Pham

We propose a novel way to integrate control techniques with reinforcement learning (RL) for stability, robustness, and generalization: leveraging contraction theory to realize modularity in neural control, which ensures that combining stable subsystems can automatically preserve the stability.

reinforcement-learning Reinforcement Learning (RL)

Fine Robotic Manipulation without Force/Torque Sensor

no code implementations31 Jan 2023 Shilin Shan, Quang-Cuong Pham

Force Sensing and Force Control are essential to many industrial applications.

Industrial Robots

Development of a Robotic System for Automated Decaking of 3D-Printed Parts

no code implementations11 Mar 2020 Huy Nguyen, Nicholas Adrian, Joyce Lim Xin Yan, Jonathan M. Salfity, William Allen, Quang-Cuong Pham

With the rapid rise of 3D-printing as a competitive mass manufacturing method, manual "decaking" - i. e. removing the residual powder that sticks to a 3D-printed part - has become a significant bottleneck.

Robotics

3D Convolution on RGB-D Point Clouds for Accurate Model-free Object Pose Estimation

no code implementations29 Dec 2018 Zhongang Cai, Cunjun Yu, Quang-Cuong Pham

The conventional pose estimation of a 3D object usually requires the knowledge of the 3D model of the object.

Pose Estimation Robotic Grasping +1

ZMP support areas for multi-contact mobility under frictional constraints

2 code implementations12 Oct 2015 Stéphane Caron, Quang-Cuong Pham, Yoshihiko Nakamura

We show that, in the LPM, having the ZMP in the pendular support area is a necessary and sufficient condition for contact stability.

Robotics

Stability of Surface Contacts for Humanoid Robots: Closed-Form Formulae of the Contact Wrench Cone for Rectangular Support Areas

1 code implementation20 Jan 2015 Stéphane Caron, Quang-Cuong Pham, Yoshihiko Nakamura

Here we argue that the CWC can be explicitly computed without reference to individual contact forces, and give closed-form formulae in the case of rectangular surfaces -- which is of practical importance.

Robotics

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