Predictive Multi-Agent based Planning and Landing Controller for Reactive Dual-Arm Manipulation

This repository contains the supplementary data of the paper: "Predictive Multi-Agent based Planning and Landing Controller for Reactive Dual-Arm Manipulation", which originates from a collaboration of the Munich School of Robotics and Machine Intelligence, Technical University of Munich (TUM) and the Institute of Automatic Control, Leibniz University Hannover (LUH). In this repository, we provide the video files that show the simulations and real world experiments that are explained in detail in the paper. The simulation videos also include the comparisons with other state-of-the-art reactive planning approaches, where each scenario is represented by one exemplary video for each planner. The videos can be downloaded together as a zip. file or viewed in your browser. We also provide the parameters that were used in all experiments and simulations with our CFP planner.

Data and Resources

Cite this as

Riddhiman Laha, Marvin Becker, Jonathan Vorndamme, Juraj Vrabel, Luis F.C. Figueredo, Matthias A. Müller, and Sami Haddadin (2023). Predictive Multi-Agent based Planning and Landing Controller for Reactive Dual-Arm Manipulation [Data set]. LUIS. https://doi.org/10.25835/7mvvk9qg
Retrieved: 21:12 26 Oct 2026 (UTC)

Additional Info

Field Value
Author Riddhiman Laha, Marvin Becker, Jonathan Vorndamme, Juraj Vrabel, Luis F.C. Figueredo, Matthias A. Müller, and Sami Haddadin
Maintainer Marvin Becker
Last Updated April 19, 2023, 14:55 (UTC)
Created March 22, 2023, 06:59 (UTC)
License Creative Commons Attribution 3.0
Dataset Size 1.6 GByte