Philipp Tempel

dblp:203/4880 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0003-2424-2007ORCID · corroborated

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 · 56% Robot manipulation · 44%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › continuum robot
cosserat rod model
0.812024
Implicit Time-Integration Simulation of Robots With Rigid Bodies and Cosserat Rods Based on a Newton-Euler Recursive Algorithm · IEEE Trans. Robotics 2024
Robotics › Motion planning and robot control
robot dynamics
0.812024
Implicit Time-Integration Simulation of Robots With Rigid Bodies and Cosserat Rods Based on a Newton-Euler Recursive Algorithm · IEEE Trans. Robotics 2024
Robotics › Robot manipulation › parallel manipulator
cable-driven parallel robot
0.312017
Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo · ICRA 2017
Robotics › Motion planning and robot control › system identification › robot dynamics identification
inertial parameter identification
0.312017
Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo · ICRA 2017
Robotics › Motion planning and robot control › robot control
model-based control
0.312017
Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo · ICRA 2017
Mathematical optimization › control theory › system identification
parameter identification
0.112017
Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo · ICRA 2017

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

predictor-corrector integration · 0.8newton-euler recursive algorithm · 0.8newton-euler equations · 0.6least-squares identification · 0.6
YearPublicationVenuePosition
2024 Implicit Time-Integration Simulation of Robots With Rigid Bodies and Cosserat Rods Based on a Newton-Euler Recursive Algorithm
abstract
In this article, we propose a new algorithm for solving the forward dynamics of multibody systems consisting of rigid bodies connected in arbitrary topologies by localized joints and/or soft links, possibly actuated or not. The simulation is based on the implicit time integration of the Lagrangian model of these systems, where the soft links are modeled by Cosserat rods parameterized by assumed strain modes. This choice imposes a predictor–corrector structure on the approach, and requires computing both the residual vector and the Jacobian of the residual vector of the dynamics constrained by the time integrator. These additional calculations are handled here with a new Newton–Euler recursive inverse dynamics algorithm and its linearized tangent version. The approach is illustrated with numerical examples from the Cosserat rod literature and from recent robotic applications.
Frédéric Boyer, Andrea Gotelli, Philipp Tempel, Vincent Lebastard, Federico Renda, Sébastien Briot
IEEE Trans. Robotics3
2017 Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo
abstract
Model based open-loop and closed-loop control systems make use of the system's inertial parameters. Unfortunately, not all of these values can be determined analytically nor can they be obtained from simple measurements. Established experiments for inertial parameters estimation have been applied to serial and parallel rigid-link manipulators, yet in very few cases to cable-driven parallel robots. Due to their kinematic properties and their unique setup, cable robots are more sensitive to incorrect estimates of the inertial parameters making it important to obtain such quantities through experiments. In this work, we assess the topic of inertial parameter identification of a parallel flexible-link manipulator exemplified by the suspended cable-driven parallel robot CoGIRo. Identification equations are derived from Newton-Euler equations of motion of an arbitrary point fixed to a rigid-body. Laboratory experiments for identification of the inertial parameters are then introduced and results are presented. Within the limitations of the sensors and data acquisition methods, reasonable results have been obtained, thereby validating the procedure for suspended cable-driven parallel robots.
Philipp Tempel, Pierre-Elie Hervé, Olivier Tempier, Marc Gouttefarde, Andreas Pott
ICRA1