most citedData Driven Approach to Input Shaping for Vibration Suppression in a Flexible Robot Arm

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Programming and execution of skill-based human-robot-crane collaborative tasks

Taneli Lohi, Markku Suomalainen, Roope Mellanen +1

Highly varying production sets increasing challenges for robotic manufacturing and indoor logistics. New capabilities for agility, flexibility, and robustness are needed. Robot ski…

cs.RO2026

Vibration Suppression in Collaborative Flexible Payload Manipulation Using Passive Force Control

Alaa Abderrahim, Antonio Rosales, Ferdinando Milella +2

In large and heavy structures, vibrations arise during motion, posing significant challenges for precise manipulation. To accomplish the desired motion, control algorithms must eff…

cs.RO2025

Gaussian path model library for intuitive robot motion programming by demonstration

Samuli Soutukorva, Markku Suomalainen, Martin Kollingbaum +1

This paper presents a system for generating Gaussian path models from teaching data representing the path shape. In addition, methods for using these path models to classify human…

cs.RO2025

Robot and Overhead Crane Collaboration Scheme to Enhance Payload Manipulation

Antonio Rosales, Alaa Abderrahim, Markku Suomalainen +2

This paper presents a scheme to enhance payload manipulation using a robot collaborating with an overhead crane. In the current industrial practice, when the crane's payload has to…

cs.RO2025★ 3 cited

Data Driven Approach to Input Shaping for Vibration Suppression in a Flexible Robot Arm

Jarkko Kotaniemi, Janne Saukkoriipi, Shuai Li +1

This paper presents a simple and effective method for setting parameters for an input shaper to suppress the residual vibrations in flexible robot arms using a data-driven approach…