Opportunities and challenges with autonomous micro aerial vehicles

By Vijay R. Kumar, Nathan Michael. Int. J. Robotics Res., 2012

491 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/b1ea82ecdd729992d8e81979dcc3dc6d0b4eef99

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking (2016, background): “…mobile robots (Howard et al., 2009; Klančar and Škrjanc, 2007; Krenn et al., 2013; Kühne et al., 2005; Peters and Iagnemma, 2008), unmanned aerial vehicles (Kumar and Michael, 2012; Mueller and D’Andrea, 2013), and humanoid robots (Erez et al., 2013; Gouaillier et al., 2010; Lafaye et al., 2014).”
Thrust Control for Multirotor Aerial Vehicles (2017, background): “The question of providing effective control for multirotors in the presence of wind gusts, or during fast and aggressive manoeuvres has been raised by a number of recent papers [9], [17], [28], [30].”
Towards a swarm of agile micro quadrotors (2012, background): “Rotor crafts, including helicopters, coaxial rotor crafts [9], ducted fans[22], quadrotors [10] and hexarotors, have proved to be more mature [15] with quadrotors being the most commonly used aerial platform in robotics research labs.”
A Survey of Research on Cloud Robotics and Automation (2015, background): “Cloud Robot and Automation systems can be broadly de-ﬁned as follows: Any robot or automation system that relies Manuscript received Saturday 13 th September, 2014.”
Image Object Label 3 D CAD Model Candidate Grasps Google Object Recognition Engine Google Cloud Storage Select Feasible Grasp with Highest Success Probability Pose EstimationCamera Robots Cloud 3 D Sensor (2014, background): “definition is intended to include future systems and many existing systems that involve networked teleoperation or networked groups of mobile robots such as UAVs [100], [116] or warehouse robots [44], [96] as well as advanced assembly lines, processing plants, and home automation systems, and system”
Aerodynamics and Control of Quadrotors (2017, background): “However, they suffer from the dual-cover problem wherein a set of Euler angles can have two representation Lim et al. [2012]. Quadrotor control has been done by dividing the control problem into various levels that depend on their response times.”
Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint (2016, background): “keep track of the UAVs to identify any unusual behavior is a requirement [131], [133].”