14 citations · 19 across the 12 of their papers we have counts for
10 papers · 1 filter
A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing
Alireza Barekatain, Hamed Habibi, Holger Voos
This paper provides a structured and practical roadmap for practitioners to integrate Learning from Demonstration (LfD ) into manufacturing tasks, with a specific focus on industri…
Synthetic Dataset Generation and Learning From Demonstration Applied to Industrial Manipulation
Alireza Barekatain, Hamed Rahimi Nohooji, Holger Voos
The aim of this study is to investigate an automated industrial manipulation pipeline, where assembly tasks can be flexibly adapted to production without the need for a robotic exp…
Nussbaum Function Based Approach for Tracking Control of Robot Manipulators
Hamed Rahimi Nohooji, Holger Voos
This paper introduces a novel Nussbaum function-based PID control for robotic manipulators. The integration of the Nussbaum function into the PID framework provides a solution with…
Faster Optimization in S-Graphs Exploiting Hierarchy
Hriday Bavle, Jose Luis Sanchez-Lopez, Javier Civera +1
3D scene graphs hierarchically represent the environment appropriately organizing different environmental entities in various layers. Our previous work on situational graphs extend…
Graph-based Global Robot Simultaneous Localization and Mapping using Architectural Plans
Muhammad Shaheer, Jose Andres Millan-Romera, Hriday Bavle +3
In this paper, we propose a solution for graph-based global robot simultaneous localization and mapping (SLAM) using architectural plans. Before the start of the robot operation, t…
Multi S-graphs: A Collaborative Semantic SLAM architecture
Miguel Fernandez-Cortizas, Hriday Bavle, Jose Luis Sanchez-Lopez +2
Collaborative Simultaneous Localization and Mapping (CSLAM) is a critical capability for enabling multiple robots to operate in complex environments. Most CSLAM techniques rely on…