VLDB 2026 Research / reviewers in the wild / expert
Enis Ersü
dblp:05/4876
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1987
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 1 · 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
2 papers |
Motion planning and robot control · 67% Reinforcement learning · 25% Representation and self-supervised learning · 8% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot kinematics
forward kinematics |
0.0 | 1 | 1984 | A numerical solution of the general kinematic problem · ICRA 1984 |
Robotics › Motion planning and robot control › robot control
inverse kinematics |
0.0 | 1 | 1984 | A numerical solution of the general kinematic problem · ICRA 1984 |
Robotics › Motion planning and robot control › robot control › inverse kinematics
numerical inverse kinematics |
0.0 | 1 | 1984 | A numerical solution of the general kinematic problem · ICRA 1984 |
Robotics › Motion planning and robot control
robot kinematics |
0.0 | 1 | 1984 | A numerical solution of the general kinematic problem · ICRA 1984 |
Machine learning › Representation and self-supervised learning
associative memory |
0.0 | 1 | 1987 | Hierarchical Learning Control - An Approach with Neuron-Like Associative Memories · NIPS 1987 |
Methods — techniques the papers use, named apart from their topics
neuron-like associative memory · 0.0linearization · 0.0homogeneous transformation matrices · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Hierarchical Learning Control - An Approach with Neuron-Like Associative Memories
Enis Ersü, Henning Tolle |
NIPS | 1 |
| 1984 | A numerical solution of the general kinematic problemabstractThe paper proposes a method for the solution of the general kinematic problem, i.e. the transformations between the joint coordinate and the cartesian robot coordinate system. Based on homogeneous transformation matrices the method solves the kinematic problem for a series of n (n >/=/< 6) one-degree-of-freedom joints either revolute or prismatic and with or without branching analytically. The inverse kinematic problem is handled numerically via linearization. The numerical solution is evaluated with respect to some constraints like joint workspace, velocities, energy, e.t.c. The numerical results and the computation time show the applicability of the method for real-time control systems. Enis Ersü, D. Nungesser |
ICRA | 1 |