1,727 research outputs found
One-Chip Solution to Intelligent Robot Control: Implementing Hexapod Subsumption Architecture Using a Contemporary Microprocessor
This paper introduces a six-legged autonomous robot managed by a single
controller and a software core modeled on subsumption architecture. We begin by
discussing the features and capabilities of IsoPod, a new processor for
robotics which has enabled a streamlined implementation of our project. We
argue that this processor offers a unique set of hardware and software
features, making it a practical development platform for robotics in general
and for subsumption-based control architectures in particular. Next, we
summarize original ideas on subsumption architecture implementation for a
six-legged robot, as presented by its inventor Rodney Brooks in 1980s. A
comparison is then made to a more recent example of a hexapod control
architecture based on subsumption. The merits of both systems are analyzed and
a new subsumption architecture layout is formulated as a response. We conclude
with some remarks regarding the development of this project as a hint at new
potentials for intelligent robot design, opened by a recent development in
embedded controller market
Aerospace medicine and biology: A continuing bibliography with indexes (supplement 331)
This bibliography lists 129 reports, articles and other documents introduced into the NASA Scientific and Technical Information System during December, 1989. Subject coverage includes: aerospace medicine and psychology, life support systems and controlled environments, safety equipment, exobiology and extraterrestrial life, and flight crew behavior and performance
Realization of reactive control for multi purpose mobile agents
Mobile robots are built for different purposes, have different physical size, shape, mechanics and electronics. They are required to work in real-time, realize more than one goal simultaneously, hence to communicate and cooperate with other agents. The approach proposed in this paper for mobile robot control is reactive and has layered structure that supports multi sensor perception. Potential field method is implemented for both obstacle avoidance and goal tracking. However imaginary forces of the obstacles and of the goal point are separately treated, and then resulting behaviors are fused with the help of the geometry. Proposed control is tested on simulations where
different scenarios are studied. Results have confirmed the high performance of the method
Gait Coordination of Hexapod Walking Robots Using Mutual-Coupled Immune Networks
PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATIO
Robots as Powerful Allies for the Study of Embodied Cognition from the Bottom Up
A large body of compelling evidence has been accumulated demonstrating that embodiment – the agent’s physical setup, including its shape, materials, sensors and actuators – is constitutive for any form of cognition and as a consequence, models of cognition need to be embodied. In contrast to methods from empirical sciences to study cognition, robots can be freely manipulated and virtually all key variables of their embodiment and control programs can be systematically varied. As such, they provide an extremely powerful tool of investigation. We present a robotic bottom-up or developmental approach, focusing on three stages: (a) low-level behaviors like walking and reflexes, (b) learning regularities in sensorimotor spaces, and (c) human-like cognition. We also show that robotic based research is not only a productive path to deepening our understanding of cognition, but that robots can strongly benefit from human-like cognition in order to become more autonomous, robust, resilient, and safe
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