Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Ivo Jansen

dblp:181/4242 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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
1 paper
Motion planning and robot control · 77% Legged, aerial and field robots · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
reachability-based control
0.212016
Safe and robust robot maneuvers based on reach control · ICRA 2016
Robotics › Motion planning and robot control › robot control › operational space control
region reaching control
0.212016
Safe and robust robot maneuvers based on reach control · ICRA 2016
Robotics › Legged, aerial and field robots
aerial robots
0.112016
Safe and robust robot maneuvers based on reach control · ICRA 2016
Robotics › Legged, aerial and field robots › aerial robots
quadrotor
0.112016
Safe and robust robot maneuvers based on reach control · ICRA 2016

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

reach control · 0.2piecewise affine feedback · 0.2lyapunov stability · 0.2
YearPublicationVenuePosition
2016 Safe and robust robot maneuvers based on reach control
abstract
In this paper, we investigate the synthesis of piecewise affine feedback controllers to address the problem of safe and robust controller design in robotics based on high-level controls specifications. The methodology is based on formulating the problem as a collection of reach control problems on a polytopic state space. Reach control has so far only been developed in theory and has not been tested experimentally on a real system before. Using a quadrocopter as our experimental platform, we show that these theoretical tools can achieve fast, albeit safe and robust maneuvers. In contrast to most traditional control techniques, the reach control approach does not require a predefined open-loop reference trajectory or spacial path. Experimental results on a quadrocopter show the effectiveness and robustness of this control approach. In a proof-of-concept demonstration, the reach controller is implemented in one translational direction while the other degrees of freedom are stabilized by separate controllers.
Marijan Vukosavljev, Ivo Jansen, Mireille E. Broucke, Angela P. Schoellig
ICRA2