[HTML][HTML] Survey on Motion Planning for Multirotor Aerial Vehicles in Plan-Based Control Paradigm

G Kulathunga, A Klimchik - Remote Sensing, 2023 - mdpi.com
In general, optimal motion planning can be performed both locally and globally. In such a
planning, the choice in favor of either local or global planning technique mainly depends on …

Scalable decentralized multi-robot trajectory optimization in continuous-time

S Kandhasamy, VB Kuppusamy, S Krishnan - IEEE Access, 2020 - ieeexplore.ieee.org
This article presents a decentralized algorithm that generates continuous-time trajectory
online for a swarm of robots based upon model predictive control. To generate collision-free …

Motion Planning for Multirotor Aerial Vehicles in Plan-based Control Paradigm: a Review

G Kulathunga, A Klimchik - arXiv preprint arXiv:2208.14647, 2022 - arxiv.org
In general, optimal motion planning can be performed both locally and globally. In such a
planning, the choice in favour of either local or global planning technique mainly depends …

A Data-Driven Model for Predicting Fault-Tolerant Safe Navigation in Multi-Robot Systems

A Madhesh, CB Priyadharshini - Multidisciplinary Applications of AI …, 2024 - igi-global.com
Earlier methods focused on reducing the forecast uncertainty for individual agents and
avoiding this unduly cautious behavior by either employing more experienced models or …

[PDF][PDF] Scalable Decentralized Multi-Robot Trajectory Optimization in Continuous-Time

S KRISHNAN - scholar.archive.org
This paper presents a decentralized algorithm that generates continuous-time trajectory
online for a swarm of robots based upon model predictive control. To generate collision-free …