Titlebook: Sensor Based Intelligent Robots; International Worksh Henrik I. Christensen,Horst Bunke,Hartmut Noltemei Conference proceedings 1999 Spring

Accomplish

Markov Localization for Reliable Robot Navigation and People Detection,their tasks. In this paper we present Markov localization as a technique for estimating the position of a mobile robot. The key idea of this technique is to maintain a probability density over the whole state space of the robot within its environment. This way our technique is able to globally local

DEAWL

Relocalisation by Partial Map Matching,f. A prerequisite for building large scale consistent maps is that the robot is able to recognise previously mapped areas and relocalise within these areas..The recognition is based on constructing partial maps of geometric landmarks which are then compared to yield the optimal correspondence betwee

千篇一律

辭職

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MAid: A Robotic Wheelchair Operating in Public Environments,bility Aid for Elderly and Disabled People). MAid’s general task is to transport people with severely impaired motion skills such as, for example, paraplegia, multiple sclerosis, poliomyelitis, or muscular dystrophy. Following the advice of disabled people and physicians we did not set out to re-inv

織物

Interactive Robot Programming Based on Human Demonstration and Advice,wing the . paradigm that were developed within the last years are getting closer to this goal. However, most of these systems lack the possibility for the user to supervise and influence the process of program generation after the initial demonstration was performed. In this paper an approach is pre

Matrimony

Towards Smarter Cars,eometry of the scene is more relevant than the reflected brightness information and therefore range sensors are of increasing interest..In this paper we focus on an automotive application of such a range camera to increase safety on motorways. This driver assistance system is capable of automaticall

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Near-Optimal Sensor-Based Navigation in an Environment Cluttered with Simple Shapes,ination is theoretically ensured if a path to the destination exists. However, due to no information of obstacle shape and location, a mobile robot basically takes a very long path to its destination. To overcome this drawback in this paper, we consider how a mobile robot selects its direction to fo

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Realistic Environment Models and Their Impact on the Exact Solution of the Motion Planning Problem,imes are an important reason for the fact that exact algorithms are hardly used in practice. It has been noted that certain weak assumptions on the size of the robot and the distribution of the obstacles in the workspace lead to a drastic reduction of the complexity of the motion planning problem, a