activity
20212023
most citedEnhancing Mobile Robot Navigation Safety and Efficiency through NMPC with Relaxed CBF in Dynamic Environments

4 citations · 16 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2023★ 1 cited

Fixed-time Adaptive Neural Control for Physical Human-Robot Collaboration with Time-Varying Workspace Constraints

Yuzhu Sun, Mien Van, Stephen McIlvanna +4

Physical human-robot collaboration (pHRC) requires both compliance and safety guarantees since robots coordinate with human actions in a shared workspace. This paper presents a nov…

cs.RO2023

An NMPC-ECBF Framework for Dynamic Motion Planning and Execution in vision-based Human-Robot Collaboration

Dianhao Zhang, Mien Van, Pantelis Sopasakis +1

To enable safe and effective human-robot collaboration (HRC) in smart manufacturing, seamless integration of sensing, cognition, and prediction into the robot controller is critica…

cs.RO2023

Adaptive Safety-critical Control with Uncertainty Estimation for Human-robot Collaboration

Dianhao Zhang, Mien Van, Stephen Mcllvanna +2

In advanced manufacturing, strict safety guarantees are required to allow humans and robots to work together in a shared workspace. One of the challenges in this application field…

eess.SY2023★ 1 cited

Distributed Fixed-Time Consensus Control for Multiple AUV Systems with Input Saturations

Mien Van, Yuzhu Sun, Stephen Mcllvanna +4

This study proposes a new distributed control method based on an adaptive fuzzy control for multiple collaborative autonomous underwater vehicles (AUVs) to track a desired formatio…

eess.SY2023★ 3 cited

Digital Twins for Marine Operations: A Brief Review on Their Implementation

Federico Zocco, Hsueh-Cheng Wang, Mien Van

While the concept of a digital twin to support maritime operations is gaining attention for predictive maintenance, real-time monitoring, control, and overall process optimization,…

cs.RO2022★ 2 cited

Reinforcement Learning-Enhanced Control Barrier Functions for Robot Manipulators

Stephen McIlvanna, Nhat Nguyen Minh, Yuzhu Sun +2

In this paper we present the implementation of a Control Barrier Function (CBF) using a quadratic program (QP) formulation that provides obstacle avoidance for a robotic manipulato…

eess.SY2022★ 4 cited

Enhancing Mobile Robot Navigation Safety and Efficiency through NMPC with Relaxed CBF in Dynamic Environments

Nhat Nguyen Minh, Stephen McIlvanna, Yuzhu Sun +2

In this paper, a safety-critical control strategy for a nonholonomic robot is developed to generate control signals that result in optimal, obstacle-free paths through dynamic envi…

cs.RO2022★ 2 cited

Fixed-time Integral Sliding Mode Control for Admittance Control of a Robot Manipulator

Yuzhu Sun, Mien Van, Stephen McIlvanna +2

This paper proposes a novel fixed-time integral sliding mode controller for admittance control to enhance physical human-robot collaboration. The proposed method combines the benef…

cs.RO2022

Adaptive Admittance Control for Safety-Critical Physical Human Robot Collaboration

Yuzhu Sun, Mien Van, Stephen McIlvanna +2

Physical human-robot collaboration requires strict safety guarantees since robots and humans work in a shared workspace. This letter presents a novel control framework to handle sa…

cs.CV2021★ 3 cited

Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction

Dianhao Zhang, Ngo Anh Vien, Mien Van +1

3D skeleton-based motion prediction and activity recognition are two interwoven tasks in human behaviour analysis. In this work, we propose a motion context modeling methodology th…