Demo Data from SIGIR 2026 / reviewers in the wild / expert
Lukas Stadelmann
dblp:194/2781
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-7173-7259ORCID · reported
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 · 87% Robot manipulation · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › optimal control
constrained optimal control |
0.3 | 1 | 2017 | Efficient kinematic planning for mobile manipulators with non-holonomic constraints using optimal control · ICRA 2017 |
Robotics › Motion planning and robot control
trajectory optimization |
0.3 | 1 | 2017 | Efficient kinematic planning for mobile manipulators with non-holonomic constraints using optimal control · ICRA 2017 |
Robotics › Robot manipulation
mobile manipulation |
0.1 | 1 | 2017 | Efficient kinematic planning for mobile manipulators with non-holonomic constraints using optimal control · ICRA 2017 |
Methods — techniques the papers use, named apart from their topics
sequential linear quadratic optimal control · 0.3receding horizon control · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Efficient kinematic planning for mobile manipulators with non-holonomic constraints using optimal controlabstractThis work addresses the problem of kinematic trajectory planning for mobile manipulators with non-holonomic constraints, and holonomic operational-space tracking constraints. We obtain whole-body trajectories and time-varying kinematic feedback controllers by solving a Constrained Sequential Linear Quadratic Optimal Control problem. The employed algorithm features high efficiency through a continuous-time formulation that benefits from adaptive step-size integrators and through linear complexity in the number of integration steps. In a first application example, we solve kinematic trajectory planning problems for a 26 DoF wheeled robot. In a second example, we apply Constrained SLQ to a real-world mobile manipulator in a receding-horizon optimal control fashion, where we obtain optimal controllers and plans at rates up to 100 Hz. Markus Giftthaler, Farbod Farshidian, Timothy Sandy, Lukas Stadelmann, Jonas Buchli |
ICRA | 4 |