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Luis Felipe Marin-Urias

dblp:94/3253 · DBLP profile ↗
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7ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0003-2467-8695ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 6Human-computer interaction and ubiquitous computing · 4Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
4 papers
Human-robot interaction · 100%
Artificial intelligence
2 papers
Motion planning and robot control · 77% Robot manipulation · 23%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › robot perception
object recognition
0.212013
Learning from the web: recognition method based on object appearance from internet images · HRI 2013
Human-robot interaction
service robot
0.112012
Design, integration, and test of a shopping assistance robot system · HRI 2012
Robotics › Motion planning and robot control › motion planning › safe motion planning
human-aware motion planning
0.112007
A Human Aware Mobile Robot Motion Planner · IEEE Trans. Robotics 2007
Robotics › Motion planning and robot control
motion planning
0.112007
A Human Aware Mobile Robot Motion Planner · IEEE Trans. Robotics 2007
Human-robot interaction › robot navigation
socially-aware robot navigation
0.112007
A Human Aware Mobile Robot Motion Planner · IEEE Trans. Robotics 2007
Robotics › Robot manipulation › object manipulation
object transport
0.012012
Design, integration, and test of a shopping assistance robot system · HRI 2012
Human-robot interaction
social robot
0.012011
A memory game for human-robot interaction · HRI 2011

Methods — techniques the papers use, named apart from their topics

acceptability study · 0.3vision field reasoning · 0.1accessibility reasoning · 0.1
YearPublicationVenuePosition
2013 Learning from the web: recognition method based on object appearance from internet images
Enrique Hidalgo-Peña, Luis Felipe Marin-Urias, Fernando Montes-González, Antonio Marín-Hernández, Homero V. Ríos-Figueroa
HRI2
2012 Design, integration, and test of a shopping assistance robot system
abstract
In this paper is described the current work towards the design of a shopping assistant robot system. This system will allow users to keep control of what they are buying; the robot will help the customer by handling its shopping list, carrying with all the products, and serving as a companion. In this work is also shown the acceptability studies for this kind of robot.
Marlon Garcia-Arroyo, Luis Felipe Marin-Urias, Antonio Marín-Hernández, Guillermo de Jesús Hoyos-Rivera
HRI2
2011 A memory game for human-robot interaction
abstract
As a part of the final goal of introducing robots in the human environment, it also comes the problem of the close interaction between these two beings. Close cooperative activities illustrate well this problem and rises new challenges to solve.
Sergio Hernández-Méndez, Luis Alberto Morgado-Ramirez, Ana Cristina Ramirez-Hernandez, Luis Felipe Marin-Urias, Antonio Marín-Hernández, Fernando Montes-González
HRI4
2007 Spatial reasoning for human robot interaction
abstract
Robots' interaction with humans raises new issues for geometrical reasoning where the humans must be taken explicitly into account. We claim that a human-aware motion system must not only elaborate safe robot motions, but also synthesize good, socially acceptable and legible movement. This paper focuses on a manipulation planner and a placement mechanism that take explicitly into account its human partners by reasoning about their accessibility, their vision field and their preferences. This planner is part of a human-aware motion and manipulation planning and control system that we aim to develop in order to achieve motion and manipulation tasks in presence or in synergy with humans.
Akin Sisbot, Luis Felipe Marin-Urias, Rachid Alami 0001
IROS2
2007 A Human Aware Mobile Robot Motion Planner
abstract
Robot navigation in the presence of humans raises new issues for motion planning and control when the humans must be taken explicitly into account. We claim that a human aware motion planner (HAMP) must not only provide safe robot paths, but also synthesize good, socially acceptable and legible paths. This paper focuses on a motion planner that takes explicitly into account its human partners by reasoning about their accessibility, their vision field and their preferences in terms of relative human-robot placement and motions in realistic environments. This planner is part of a human-aware motion and manipulation planning and control system that we aim to develop in order to achieve motion and manipulation tasks in the presence or in synergy with humans.
Akin Sisbot, Luis Felipe Marin-Urias, Rachid Alami 0001, Thierry Siméon
IEEE Trans. Robotics2
2006 A mobile robot that performs human acceptable motions
abstract
The presence of humans should be explicitly taken into account in all steps of robot's design and particularly for robot motion. The robot should reason about human partner's accessibility, his vision field and potential shared motions and behave as a social being by respecting social rules and protocols. This paper describes the algorithms and results of a navigation planner that takes into account the human presence explicitly. This planner is part of a human-aware motion and manipulation planning and control system that we aim to develop in order to achieve motion and manipulation tasks in presence and/or in synergy with human
Akin Sisbot, Luis Felipe Marin-Urias, Rachid Alami 0001, Thierry Siméon
IROS2
2006 Implementing a Human-Aware Robot System
abstract
The presence of humans in the robot environment brings new challenges to the robotic research. From low level functions to high level planners, clearly the human has to be taken into account in all the layers of the robot control system. Indeed, the robot has to behave socially in order to interact friendly with its human partners. This paper describes the development of several components (human detection and tracking, planning and supervision) that take into account humans explicitly with some preliminary results of their integration.
Akin Sisbot, Aurélie Clodic, Luis Felipe Marin-Urias, Mathias Fontmarty, Ludovic Brethes, Rachid Alami 0001
RO-MAN3