most citedA Unified NMPC Scheme for MAVs Navigation with 3D Collision Avoidance under Position Uncertainty

19 citations · 21 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO20212 cited

Collision avoidance for multiple MAVs using fast centralized NMPC

Björn Lindqvist, Sina Sharif Mansouri, Pantelis Sopasakis +1

This article proposes a novel control architecture using a centralized nonlinear model predictive control (CNMPC) scheme for controlling multiple micro aerial vehicles (MAVs). The…

cs.RO2021

A Scalable Distributed Collision Avoidance Scheme for Multi-agent UAV systems

Björn Lindqvist, Pantelis Sopasakis, George Nikolakopoulos

In this article we propose a distributed collision avoidance scheme for multi-agent unmanned aerial vehicles(UAVs) based on nonlinear model predictive control (NMPC),where other ag…

cs.RO2021

Exploration-RRT: A multi-objective Path Planning and Exploration Framework for Unknown and Unstructured Environments

Björn Lindqvist, Ali-akbar Agha-mohammadi, George Nikolakopoulos

This article establishes the Exploration-RRT algorithm: A novel general-purpose combined exploration and pathplanning algorithm, based on a multi-goal Rapidly-Exploring Random Tree…

cs.RO2020

Nonlinear MPC for Collision Avoidance and Controlof UAVs With Dynamic Obstacles

Björn Lindqvist, Sina Sharif Mansouri, Ali-akbar Agha-mohammadi +1

This article proposes a Novel Nonlinear Model Predictive Control (NMPC) for navigation and obstacle avoidance of an Unmanned Aerial Vehicle (UAV). The proposed NMPC formulation all…

cs.RO202019 cited

A Unified NMPC Scheme for MAVs Navigation with 3D Collision Avoidance under Position Uncertainty

Sina Sharif Mansouri, Christoforos Kanellakis, Bjorn Lindqvist +4

This article proposes a novel Nonlinear Model Predictive Control (NMPC) framework for Micro Aerial Vehicle (MAV) autonomous navigation in constrained environments. The introduced f…

cs.RO2020

Subterranean MAV Navigation based on Nonlinear MPC with Collision Avoidance Constraints

Sina Sharif Mansouri, Christoforos Kanellakis, Emil Fresk +5

Micro Aerial Vehicles (MAVs) navigation in subterranean environments is gaining attention in the field of aerial robotics, however there are still multiple challenges for collision…