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m3p2i-aip · tud-amr

Code for the IEEE Robotics and Automation Letters paper titled "Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning"

planning control
Publisher repository ↗
m3p2i-aip · tud-amr resource page screenshot
Resource screenshot · captured 2026-10-10 · visually reviewed

Overview

Code for the IEEE Robotics and Automation Letters paper titled "Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning"

Inspect installation instructions, supported versions, examples and interfaces in the source. This directory does not claim the software has been installed or tested on your robot.

Project information

Maintainer
tud-amr
Primary language
Python
Repository code license
MIT
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2025-03-06

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • Installation
  • Run the scripts
  • Navigation among obstacles
  • Push only using MPPI
  • Pull only using MPPI
  • Multi-modal push pull using M3P2I

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Software / Motion planning & control ↗

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