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Markus Bernard

dblp:54/5328 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
3 papers
Legged, aerial and field robots · 57% Motion planning and robot control · 43%
Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.222010
Integration of aerial robots and wireless sensor and actuator networks. The AWARE project · ICRA 2010
Autonomously Flying VTOL-Robots: Modeling and Control · ICRA 2007
Robotics › Motion planning and robot control
robot control
0.122009
Generic slung load transportation system using small size helicopters · ICRA 2009
Autonomously Flying VTOL-Robots: Modeling and Control · ICRA 2007
Internet of things and sensor networks
wireless sensor and actuator networks
0.112010
Integration of aerial robots and wireless sensor and actuator networks. The AWARE project · ICRA 2010
Robotics › Legged, aerial and field robots
aerial robot control
0.112009
Generic slung load transportation system using small size helicopters · ICRA 2009
Robotics › Motion planning and robot control › robot control › feedback control
cascade control
0.112009
Generic slung load transportation system using small size helicopters · ICRA 2009
Internet of things and sensor networks › wireless sensor network › sensor deployment
sensor node deployment
0.012010
Integration of aerial robots and wireless sensor and actuator networks. The AWARE project · ICRA 2010
Robotics › Legged, aerial and field robots › aerial robots
autonomous helicopter
0.012009
Generic slung load transportation system using small size helicopters · ICRA 2009
Robotics › Motion planning and robot control › observer design
disturbance observer
0.012007
Autonomously Flying VTOL-Robots: Modeling and Control · ICRA 2007

Methods — techniques the papers use, named apart from their topics

self-repairing · 0.2self-deployment · 0.2self-configuration · 0.2load state observer · 0.1interconnected mass point model · 0.1force sensor · 0.1state observer · 0.1linearization · 0.1decoupling · 0.1
YearPublicationVenuePosition
2010 Integration of aerial robots and wireless sensor and actuator networks. The AWARE project
abstract
This paper and video are devoted to the last experiments and demonstration of the AWARE project (European Commission, FP6) carried out in Utrera, near Seville (Spain) May, 2009. The project has developed and validated in field experiments a platform providing the functionalities required for the cooperation of aerial robots with ground sensor-actuator wireless networks, including static and mobile nodes carried by people and vehicles. The project demonstrated the self-deployment, self-configuration and self-repairing of the network by using autonomous helicopters that transported and deployed sensor nodes and loads. These features are highly relevant in natural and urban environments without pre-existing infrastructure or where the infrastructure has been damaged or destroyed. Two validation scenarios have been considered: Disaster Management/Civil Security and Filming.
Aníbal Ollero, Konstantin Kondak, E. Previnaire, Iván Maza, Fernando Caballero, Markus Bernard, J. Ramiro Martinez de Dios, Pedro José Marrón, Klaus Herrmann 0001, Lodewijk van Hoesel, Jason Lepley, Eduardo de Andrés
ICRA6
2009 Generic slung load transportation system using small size helicopters
abstract
In this paper we present an overview of techniques and approaches used for a load transportation system based on small size unmanned helicopters. The focus is on the control approach and on the movement of the rope connecting helicopters and load. The proposed approach is based on two control loops: an outer loop to control the translation of each helicopter in compound and an inner loop to control the orientation of helicopters. The challenge here is that in both loops the dynamics of the whole system - all helicopters and load - should be accounted for. It is shown, that for designing the outer loop controller a complex model of the helicopters and load can be replaced by a simplified model based on interconnected mass points. For designing the inner loop controller, the complete dynamics of the whole system are considered. The usage of force sensors in the ropes is proposed in order to simplify the inner loop controller and to make it robust against variations of system parameters. The presented inner loop controller is independent of the number of coupled helicopters. The outer loop controller depends on the number of helicopters. The problem of oscillations in the flexible ropes due to external disturbancies (e.g. wind gusts) is discussed and a solution based on load state observer is presented. The performance of the presented system was verified in simulations and in real flight experiments with one and three helicopters transporting the load. The worldwide first demonstration of a slung load transportation using three helicopters was performed in December 2007.
Markus Bernard, Konstantin Kondak
ICRA1
2007 Autonomously Flying VTOL-Robots: Modeling and Control
abstract
In this paper an approach for control of autonomously flying robots with vertical take off and landing capabilities (VTOL) is presented. After reviewing that the motion description for different VTOL-robots is very similar, the general control scheme for VTOL-robots is presented. This scheme is based on linearisation and decoupling using inversion of the system model blocks. To compensate the model uncertainties and disturbances two additional parts are included into the controller: a reduced state observer based on a robot motion model as well as a disturbances observer and compensator for orientation control. The presented approach was applied to two different VTOL-robots: a helicopter and a quad-rotor. In real flight experiments it was verified that the presented general but simple controller provides sufficient performance for a wide range of practical applications.
Konstantin Kondak, Markus Bernard, Nicolas Meyer, Günter Hommel
ICRA2