Human Personal Space against Mobile Robot.
نویسندگان
چکیده
منابع مشابه
A New Method of Mobile Robot Navigation: Shortest Null Space
In this paper, a new method was proposed for the navigation of a mobile robot in an unknown dynamic environment. The robot could detect only a limited radius of its surrounding with its sensors and it went on the shortest null space (SNS) toward the goal. In the case of no obstacle, SNS was a direct path from the robot to goal; however, in the presence of obstacles, SNS was a space around the r...
متن کاملA New Method of Mobile Robot Navigation: Shortest Null Space
In this paper, a new method was proposed for the navigation of a mobile robot in an unknown dynamic environment. The robot could detect only a limited radius of its surrounding with its sensors and it went on the shortest null space (SNS) toward the goal. In the case of no obstacle, SNS was a direct path from the robot to goal; however, in the presence of obstacles, SNS was a space around the r...
متن کاملa new method of mobile robot navigation: shortest null space
in this paper, a new method was proposed for the navigation of a mobile robot in an unknown dynamic environment. the robot could detect only a limited radius of its surrounding with its sensors and it went on the shortest null space (sns) toward the goal. in the case of no obstacle, sns was a direct path from the robot to goal; however, in the presence of obstacles, sns was a space around the r...
متن کاملAn effective personal mobile robot agent through symbiotic human-robot interaction
Several researchers, present authors included, envision personal mobile robot agents that can assist humans in their daily tasks. Despite many advances in robotics, such mobile robot agents still face many limitations in their perception, cognition, and action capabilities. In this work, we propose a symbiotic interaction between robot agents and humans to overcome the robot limitations while a...
متن کاملSensor Space Segmentation for Mobile Robot Learning
Robot learning such as reinforcement learning generally needs a well-de ned state space in order to converge. However, to build such a state space is one of the main issues of the robot learning because of the inter-dependence between state and action spaces, which resembles to the well known \chicken and egg" problem. This paper proposes two methods of actionbased state space construction for ...
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ژورنال
عنوان ژورنال: The Japanese journal of ergonomics
سال: 1997
ISSN: 0549-4974,1884-2844
DOI: 10.5100/jje.33.supplement_454