Demo Data from EDBT 2026 / reviewers in the wild / expert
Rainer Johanni
dblp:139/5158
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 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
2 papers |
Motion planning and robot control · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
trajectory planning |
0.0 | 2 | 1987 | A concept for manipulator trajectory planning · IEEE J. Robotics Autom. 1987 A concept for manipulator trajectory planning · ICRA 1986 |
Robotics › Motion planning and robot control › trajectory planning
time-optimal path parameterization |
0.0 | 1 | 1987 | A concept for manipulator trajectory planning · IEEE J. Robotics Autom. 1987 |
Robotics › Motion planning and robot control
trajectory optimization |
0.0 | 1 | 1987 | A concept for manipulator trajectory planning · IEEE J. Robotics Autom. 1987 |
Robotics › Motion planning and robot control
motion planning |
0.0 | 1 | 1986 | A concept for manipulator trajectory planning · ICRA 1986 |
Robotics › Motion planning and robot control › trajectory planning
time-optimal trajectory planning |
0.0 | 1 | 1986 | A concept for manipulator trajectory planning · ICRA 1986 |
Robotics › Motion planning and robot control › robot control
manipulator dynamics |
0.0 | 1 | 1986 | A concept for manipulator trajectory planning · ICRA 1986 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1986 | A concept for manipulator trajectory planning · ICRA 1986 |
Methods — techniques the papers use, named apart from their topics
phase space analysis · 0.0extremal fields · 0.0extremal field method · 0.0bellman's principle · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Parallel solution of partial symmetric eigenvalue problems from electronic structure calculations
Thomas Auckenthaler, Volker Blum, Hans-Joachim Bungartz, Thomas Huckle, Rainer Johanni, Lukas Krämer, Bruno Lang, Hermann Lederer, Paul R. Willems |
Parallel Comput. | 5 |
| 1987 | A concept for manipulator trajectory planningabstractA way to find the optimal trajectory of an arbitrary manipulator following a prescribed path is described. The method takes advantage of the fact that in this case overall motion takes place with one degree of freedom (DOF) only. Transforming the equations of motion to this one DOF results in a set of equations which defines the phase space of admissible motion constrained by path geometry and joint torques in a transparent way. The time optimal solution representing the maximum mobility of the path-manipulator configuration can be easily determined by a field of extremals bound by a maximum velocity curve, which acts as a trajectory source or sink. Its properties lead to an algorithm for evaluating the time-minimum curve from a sequence of accelerating/ decelerating extremals. Additional optimizing criteria are studied by applying Bellman's principle. Friedrich Pfeiffer, Rainer Johanni |
IEEE J. Robotics Autom. | 2 |
| 1986 | A concept for manipulator trajectory planningabstractFollowing a prescribed trajectory with a manipulator tip in an ideal manner results in a one DOF overall motion whatever the configuration of the manipulator and of the path might be. Thus, a transformation of the equations of motion from joint coordinates to path coordinates leads to a set, which cannot only be solved by formal quadrature but defines as well the phase space of admissible motion constrained by path geometry and joint torques. Time optimal solution representing the maximum mobility of the path-manipulator-configuration can be determined by a field of extremals bounded by a maximum velocity curve, which acts as a trajectory source or sink. Its properties lead to an algorithm for evaluating the time-minimum-curve from a sequence of accelerating/decelerating extremals. Additional optimizing criteria are regarded applying Bellman's principle. Friedrich Pfeiffer, Rainer Johanni |
ICRA | 2 |