activity
20172024
most citedA Survey of Robot Manipulation in Contact

161 citations · 281 across the 16 of their papers we have counts for

collaborators

21 papers

cs.RO2024

Visual Servoing Based on 3D Features: Design and Implementation for Robotic Insertion Tasks

Antonio Rosales, Tapio Heikkilä, Markku Suomalainen

This paper proposes a feature-based Visual Servoing (VS) method for insertion task skills. A camera mounted on the robot's end-effector provides the pose relative to a cylinder (ho…

cs.HC2024★ 4 cited

From Virtual Reality to the Emerging Discipline of Perception Engineering

Steven M. LaValle, Evan G. Center, Timo Ojala +6

This paper makes the case that a powerful new discipline, which we term perception engineering, is steadily emerging. It follows from a progression of ideas that involve creating i…

cs.HC2023★ 42 cited

Virtual Reality Sickness Reduces Attention During Immersive Experiences

Katherine J. Mimnaugh, Evan G. Center, Markku Suomalainen +6

In this paper, we show that Virtual Reality (VR) sickness is associated with a reduction in attention, which was detected with the P3b Event-Related Potential (ERP) component from…

cs.RO2022

Leaning-Based Control of an Immersive-Telepresence Robot

Joona Halkola, Markku Suomalainen, Basak Sakcak +5

In this paper, we present an implementation of a leaning-based control of a differential drive telepresence robot and a user study in simulation, with the goal of bringing the same…

cs.HC2022

A Study of Preference and Comfort for Users Immersed in a Telepresence Robot

Adhi Widagdo, Markku Suomalainen, Basak Sakcak +5

In this paper, we show that unwinding the rotations of a user immersed in a telepresence robot is preferred and may increase the feeling of presence or "being there". By immersive…

cs.RO2022

HI-DWA: Human-Influenced Dynamic Window Approach for Shared Control of a Telepresence Robot

Juho Kalliokoski, Basak Sakcak, Markku Suomalainen +4

This paper considers the problem of enabling the user to modify the path of a telepresence robot. The robot is capable of autonomously navigating to a goal predefined by the user,…

cs.HC2022★ 12 cited

Augmenting Immersive Telepresence Experience with a Virtual Body

Nikunj Arora, Markku Suomalainen, Matti Pouke +5

We propose augmenting immersive telepresence by adding a virtual body, representing the user's own arm motions, as realized through a head-mounted display and a 360-degree camera.…

cs.RO2022

Unwinding Rotations Improves User Comfort with Immersive Telepresence Robots

Markku Suomalainen, Basak Sakcak, Adhi Widagdo +5

We propose unwinding the rotations experienced by the user of an immersive telepresence robot to improve comfort and reduce VR sickness of the user. By immersive telepresence we re…

cs.RO2021★ 161 cited

A Survey of Robot Manipulation in Contact

Markku Suomalainen, Yiannis Karayiannidis, Ville Kyrki

In this survey, we present the current status on robots performing manipulation tasks that require varying contact with the environment, such that the robot must either implicitly…

cs.HC2021

Comfort and Sickness while Virtually Aboard an Autonomous Telepresence Robot

Markku Suomalainen, Katherine J. Mimnaugh, Israel Becerra +3

In this paper, we analyze how different path aspects affect a user's experience, mainly VR sickness and overall comfort, while immersed in an autonomously moving telepresence robot…

cs.RO2021

Analysis of User Preferences for Robot Motions in Immersive Telepresence

Katherine J. Mimnaugh, Markku Suomalainen, Israel Becerra +3

This paper considers how the motions of a telepresence robot moving autonomously affect a person immersed in the robot through a head-mounted display. In particular, we explore the…

cs.RO2021★ 4 cited

Defining Preferred and Natural Robot Motions in Immersive Telepresence from a First-Person Perspective

Katherine J. Mimnaugh, Markku Suomalainen, Israel Becerra +3

This paper presents some early work and future plans regarding how the autonomous motions of a telepresence robot affect a person embodied in the robot through a head-mounted displ…

cs.RO2020★ 4 cited

Compliant Manipulation of Free-Floating Objects

Shikha Sharma, Markku Suomalainen, Ville Kyrki

Compliant motions allow alignment of workpieces using naturally occurring interaction forces. However, free-floating objects do not have a fixed base to absorb the reaction forces…

cs.RO2020★ 20 cited

Human Perception-Optimized Planning for Comfortable VR-Based Telepresence

Israel Becerra, Markku Suomalainen, Eliezer Lozano +3

This paper introduces an emerging motion planning problem by considering a human that is immersed into the viewing perspective of a remote robot. The challenge is to make the exper…

cs.RO2019

Virtual Reality for Robots

Markku Suomalainen, Alexandra Q. Nilles, Steven M. LaValle

This paper applies the principles of Virtual Reality (VR) to robots, rather than living organisms. A simulator, of either physical states or information states, renders outputs to…

cs.RO2019

Improving dual-arm assembly by master-slave compliance

Markku Suomalainen, Sylvain Calinon, Emmanuel Pignat +1

In this paper we show how different choices regarding compliance affect a dual-arm assembly task. In addition, we present how the compliance parameters can be learned from a human…

cs.RO2018★ 1 cited

Segmenting and Sequencing of Compliant Motions

Tesfamichael Marikos Hagos, Markku Suomalainen, Ville Kyrki

This paper proposes an approach for segmenting a task consisting of compliant motions into phases, learning a primitive for each segmented phase of the task, and reproducing the ta…

cs.RO2018

Learning from Demonstration for Hydraulic Manipulators

Markku Suomalainen, Janne Koivumäki, Santeri Lampinen +2

This paper presents, for the first time, a method for learning in-contact tasks from a teleoperated demonstration with a hydraulic manipulator. Due to the use of extremely powerful…

cs.RO2018

Imitating Human Search Strategies for Assembly

Dennis Ehlers, Markku Suomalainen, Jens Lundell +1

We present a Learning from Demonstration method for teaching robots to perform search strategies imitated from humans in scenarios where alignment tasks fail due to position uncert…

cs.RO2018★ 14 cited

Imitation learning-based framework for learning 6-D linear compliant motions

Markku Suomalainen, Fares J. Abu-Dakka, Ville Kyrki

We present a novel method for learning from demonstration 6-D tasks that can be modeled as a sequence of linear motions and compliances. The focus of this paper is the learning of…

cs.RO2017★ 19 cited

A geometric approach for learning compliant motions from demonstration

Markku Suomalainen, Ville Kyrki

This paper proposes a method to learn from human demonstration compliant contact motions, which take advantage of interaction forces between workpieces to align them, even when con…