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Proceedings ArticleDOI

Ensuring safe obstacle avoidance in a shared-control system

Thomas Röfer, +1 more
- Vol. 2, pp 1405-1414
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TLDR
In this paper, the Bremen Autonomous Wheelchair project showed that common static fire strategies for ultrasonic sensors are inherently unsafe and proposed a new adaptive fire strategy which delivers a complete coverage of the environment of the robot.
Abstract
This paper describes the Bremen Autonomous Wheelchair project. It shows that common static fire strategies for ultrasonic sensors are inherently unsafe and proposes a new adaptive fire strategy which delivers a complete coverage of the environment of the robot. Furthermore, a new obstacle avoidance approach for shared-control robotic systems is described in detail.

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Citations
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Spatial Cognition II

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Experiments in adjustable autonomy

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Metrics for Evaluating Human-Robot Interactions

TL;DR: Metrics for evaluating the quality of a human-robot interface are introduced and the robot attention demand metric measures how much of the user’s attention is involved with instructing a robot.
Journal ArticleDOI

Validating human-robot interaction schemes in multitasking environments

TL;DR: The notion of neglect tolerance is presented as a means for determining how robot autonomy and interface design determine how free time can be used to support multitasking, in general, and multirobot teams, in particular.
Journal ArticleDOI

A versatile and safe mobility assistant

TL;DR: The Bremen autonomous wheelchair implements obstacle avoidance plus driving and routing assistance in a shared-control system that solves the tasks of reliably detecting obstacles in the environment and safely avoiding these obstructions.
References
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Journal ArticleDOI

The vector field histogram-fast obstacle avoidance for mobile robots

TL;DR: A real-time obstacle avoidance method for mobile robots which has been developed and implemented, named the vector field histogram (VFH), permits the detection of unknown obstacles and avoids collisions while simultaneously steering the mobile robot toward the target.
Journal ArticleDOI

How in the world did we ever get into that mode? Mode error and awareness in supervisory control

TL;DR: The result is an expanded view of mode error that takes into account the new demands imposed by more automated systems.
Proceedings ArticleDOI

An experimental comparison of localization methods

TL;DR: This experimental study compares two methods for localization of indoor mobile robots: Markov localization, which uses a probability distribution across a grid of robot poses; and scan matching, which using Kalman filtering techniques based on matching sensor scans.

Analyzing Software Specifications for Mode Confusion Potential

TL;DR: This paper describes an approach to detecting error-prone automation features early in the development process while significant changes can still be made to the conceptual design of the system.
Journal ArticleDOI

Architecture and applications of the Bremen Autonomous Wheelchair

TL;DR: A safe system architecture for the Bremen Autonomous Wheelchair is proposed and a hierarchy of low level application modules is presented, and a route navigation approach that provides a high level of support is described in detail.