A robotic platform for edutainment activities in a pediatric hospital

Messias, João V.; Ventura, Rodrigo; Lima, Pedro U.; Sequeira, João; Alvito, Paulo; Marques, Carolina S.; Carrico, Paulo

doi:10.1109/icarsc.2014.6849785

Cited by 42 publications

(33 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1a. This robot is called MBot [20] and has been developed within the FP7 European project MOnarCH 1 . It is an omni-directional drive robot with an approximately round footprint of 0.65 m in diameter and a height of 0.98 m. It is endowed with two laser range finders, on both the front and the back for providing 360…”

Section: A Robotmentioning

confidence: 99%

Market-based coordination in dynamic environments based on the Hoplites framework

Talebpour

Savarè

Martinoli

2017

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

View full text Add to dashboard Cite

Abstract-This work focuses on multi-robot coordination based on the Hoplites framework for solving the multi-robot task allocation (MRTA) problem. Three variations of increasing complexity for the MRTA problem, spatial task allocation based on distance, spatial task allocation based on time and distance, and persistent coverage have been studied in this work. The Fast Marching Method (FMM) has been used for robot path planning and providing estimates of the plans that robots bid on, in the context of the market. The use of this framework for solving the persistent coverage problem provides interesting insights by taking a high-level approach that is different from the commonly used solutions to this problem such as computing robot trajectories to keep the desired coverage level. A high fidelity simulation tool, Webots, along with the Robotic Operating System (ROS) have been utilized to provide our simulations with similar complexity to the real world tests. Results confirm that this pipeline is a very effective tool for our evaluations given that our simulations closely follow the results in reality. By modifying the replanning to prevent having costly or invalid plans by means of priority planning and turn taking, and basing the coordination on maximum plan length as opposed to time, we have been able to make improvements and adapt the Hoplites framework to our applications. The proposed approach is able to solve the spatial task allocation and persistent coverage problems in general. However, there exist some limitations. Particularly, in the case of persistent coverage, this method is suitable for applications where moderate spatial resolutions are sufficient such as patrolling.

show abstract

Section: A Robotmentioning

confidence: 99%

Market-based coordination in dynamic environments based on the Hoplites framework

Talebpour

Savarè

Martinoli

2017

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

View full text Add to dashboard Cite

show abstract

“…Mecanum wheels provide an omnidirectional locomotion system with a max speed of 2.5 m/s. The robot radius is 0.6 m. A complete description of the MBot robot can be found 1 MOnarCH, FP7, FP7-ICT-2011-9-601033 (http://monarch-fp7.eu) in [18]. All algorithms and methods are supported by the ROS middleware.…”

Section: Methodsmentioning

confidence: 99%

Graph-based distributed control for adaptive multi-robot patrolling through local formation transformation

Wasik

Pereira

Ventura

et al. 2016

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Self Cite

View full text Add to dashboard Cite

Abstract-Multi-robot cooperative navigation in real-world environments is essential in many applications, including surveillance and search-and-rescue missions. State-of-the-art methods for cooperative navigation are often tested in ideal laboratory conditions and not ready to be deployed in realworld environments, which are often cluttered with static and dynamic obstacles. In this work, we explore a graph-based framework to achieve control of real robot formations moving in a world cluttered with a variety of obstacles by introducing a new distributed algorithm for reconfiguring the formation shape. We systematically validate the reconfiguration algorithm using three real robots in scenarios of increasing complexity.

show abstract

“…Currently robots are mainly used in factory automation, but they are also deployed in service applications, medical assistance [1], schools [2] and entertainment, among other application fields. As they start to roam among us, there will be a need to interact with them in easy and natural ways.…”

Section: Introductionmentioning

confidence: 99%

Biologically Inspired Vision for Human-Robot Interaction

Saleiro

Farrajota

Terzic

et al. 2015

Universal Access in Human-Computer Interaction. Access to Interaction

View full text Add to dashboard Cite

Human-robot interaction is an interdisciplinary research area that is becoming more and more relevant as robots start to enter our homes, workplaces, schools, etc. In order to navigate safely among us, robots must be able to understand human behavior, to communicate, and to interpret instructions from humans, either by recognizing their speech or by understanding their body movements and gestures. We present a biologically inspired vision system for human-robot interaction which integrates several components: visual saliency, stereo vision, face and hand detection and gesture recognition. Visual saliency is computed using color, motion and disparity. Both the stereo vision and gesture recognition components are based on keypoints coded by means of cortical V1 simple, complex and end-stopped cells. Hand and face detection is achieved by using a linear SVM classifier. The system was tested on a child-sized robot.

show abstract

A robotic platform for edutainment activities in a pediatric hospital

Cited by 42 publications

References 9 publications

Market-based coordination in dynamic environments based on the Hoplites framework

Market-based coordination in dynamic environments based on the Hoplites framework

Graph-based distributed control for adaptive multi-robot patrolling through local formation transformation

Biologically Inspired Vision for Human-Robot Interaction

Contact Info

Product

Resources

About