An autonomous car-like robot navigating safely among pedestrians

Pradalier, Cédric; Hermosillo, J.; Koike, Carla; Braillon, Christophe; Bessìère, Pierre; Laugier, Christian

doi:10.1109/robot.2004.1308108

Cited by 8 publications

(4 citation statements)

References 10 publications

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“…In outdoor traffic, some solutions were proposed and tested for robots which could navigate autonomously among pedestrians on streets [16], [17]. Other examples are museum guide robots interacting with the visitors [18], [19], which to some extent, correspond to the hospital conditions and interaction with patients.…”

Section: A Related Workmentioning

confidence: 99%

Control of mobile robot for remote medical examination: Design concepts and users' feedback from experimental studies

Arent

Jakubiak

Drwiega

et al. 2016

2016 9th International Conference on Human System Interactions (HSI)

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Disclaimer UWE has obtained warranties from all depositors as to their title in the material deposited and as to their right to deposit such material. UWE makes no representation or warranties of commercial utility, title, or fitness for a particular purpose or any other warranty, express or implied in respect of any material deposited. UWE makes no representation that the use of the materials will not infringe any patent, copyright, trademark or other property or proprietary rights. UWE accepts no liability for any infringement of intellectual property rights in any material deposited but will remove such material from public view pending investigation in the event of an allegation of any such infringement. Abstract-In this article we discuss movement control of a ReMeDi medical mobile robot from the user perspective. The control is essentially limited to the level of operator actions where the operator is a member of a nursing staff. Two working modes are the base of considerations: long distance (LD) and short distance (SD) movement. In this context two robot control techniques are subject of study: manual with use of a gamepad and "point and click" on a map that is related to autonomous motion with use of an onboard navigation system. In the SD mode the user manually operates the robot, that is close to a laying down patient on a settee. In the LD mode the mobile base moves autonomously in a space shared with people to the desired position. Two user studies were conducted. The results show that from the perspective of LD mode the autonomous navigation is efficient and reduces the burden of the medical personnel. In the SD case, the results show that the users were able to precisely position the robot. Besides, the users perceived the manual control with the gamepad as intuitive. In all cases the medical personnel consider this technology as safe and useful. Safety is also confirmed by patients. PLEASE SCROLL DOWN FOR TEXT. Control of Mobile Robot for Remote Medical

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Section: A Related Workmentioning

confidence: 99%

Control of mobile robot for remote medical examination: Design concepts and users' feedback from experimental studies

Arent

Jakubiak

Drwiega

et al. 2016

2016 9th International Conference on Human System Interactions (HSI)

View full text Add to dashboard Cite

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“…When central controller fails, the cars will halt safely since they are also autonomous. The car-like robot developed in year 2003 is also an autonomous vehicle [12]. The vehicle uses landmark to navigate and has a speed limit 30kmh.…”

Section: Related Workmentioning

confidence: 99%

A New Approach to Automated Highway Systems: Puppet Master

Çağırıcı¹,

Unluturk²

2013

JOACE

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In this research, a novel system is designed in scope of automated highways. The aim of this system is to provide safe, secure and fast transportation on highways. This system uses both road sensors and GNSS (Global Navigation Satellite System). Since no human interaction is allowed in this system, the driver mistakes are reduced to zero. Based on the road sensors and the GNSS, the system is able to adjust the speeds and the following distances between vehicles. The messaging system is also designed for this puppet master architecture, which allows vehicles to communicate with the central components of the system.  Index Terms-Automated highway, intelligent transportation systems

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“…Nevertheless, when it comes to car-like tracking applications in dynamic urban scenarios that use only 2D laser sensor data, literature proved to be scarce up to now. Pradalier et al (2004) developed an interesting approach using as test vehicle a bi-steerable car called CyCab. However, they did not focus their research on multi-obstacle motion tracking, but on the integration of some essential autonomy abilities into a single application (simultaneous localization and environment modeling, motion planning and motion execution amidst moderately dynamic obstacles).…”

Section: Motion Trackingmentioning

confidence: 99%