Demo Data from EDBT 2026 / reviewers in the wild / expert
Pawel Malczyk
dblp:169/2138
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0001-5969-7218ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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
1 paper |
Motion planning and robot control · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
dynamic modeling |
0.3 | 1 | 2017 | A Parallel Recursive Hamiltonian Algorithm for Forward Dynamics of Serial Kinematic Chains · IEEE Trans. Robotics 2017 |
Robotics › Motion planning and robot control › robot dynamics
forward dynamics |
0.3 | 1 | 2017 | A Parallel Recursive Hamiltonian Algorithm for Forward Dynamics of Serial Kinematic Chains · IEEE Trans. Robotics 2017 |
Parallel and multicore computing › parallel algorithms
divide-and-conquer |
0.1 | 1 | 2017 | A Parallel Recursive Hamiltonian Algorithm for Forward Dynamics of Serial Kinematic Chains · IEEE Trans. Robotics 2017 |
Parallel and multicore computing
parallel algorithms |
0.1 | 1 | 2017 | A Parallel Recursive Hamiltonian Algorithm for Forward Dynamics of Serial Kinematic Chains · IEEE Trans. Robotics 2017 |
Methods — techniques the papers use, named apart from their topics
recursive formulation · 0.6hamilton's canonical equations · 0.6divide-and-conquer · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | A Parallel Recursive Hamiltonian Algorithm for Forward Dynamics of Serial Kinematic ChainsabstractThis paper presents a novel recursive formulation for the simulation of multibody system dynamics based on Hamilton's canonical equations. Although Hamilton's canonical equations exhibit many advantageous features compared to their acceleration-based counterparts, it appears that there is a lack of dedicated parallel algorithms for multirigid body system dynamics based on this formulation. Serial kinematic chains are considered in this paper. Initially, the standard set of Hamilton's canonical equations is joined together with constraint equations at the velocity level. The reformulation determines the system's joint velocities and constraint force impulses in a divide and conquer manner resulting in logarithmic numerical cost for parallel implementation. Subsequently, the equations of motion are rearranged in order to obtain the time derivatives of the total joint momenta. In the case of the sequential implementation, the entire algorithm exhibits linear computational cost. Presented numerical method is exact and noniterative. Numerical test cases reveal negligible energy drift without the use of any additional constraint stabilization techniques. The results are compared against more standard acceleration based formulation and the outcome from real-life physical experiment. Krzysztof Chadaj, Pawel Malczyk, Janusz Fraczek |
IEEE Trans. Robotics | 2 |