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Applying this architecture on mobile robot swarms, snake-like real-time motion and reactive obstacle avoidance is achieved.
This chapter presents a geometric constraint satisfaction approach to serial linkage (chain) motion and reactive obstacle avoidance, based on a multi-agent architecture.
Nonpassive behavior addressed includes particle inertia, self-propulsion, diffusion due to Brownian motion and reactive particles, in particular in relation to chaotic advection.
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This paper deals with optimal and reactive motion planning for unmanned air vehicles in a dynamic world.
This paper proposes hybrid connectivity restoration (HCR), which integrates proactive selection and reactive motion.
We proposed a hybrid connectivity restoration in WSAN, which integrates proactive selection and reactive motion.
This paper proposes hybrid connectivity restoration (HCR) considering single-node failures, which integrates proactive selection and reactive motion.
Closed-form reactive optimal solutions are calculated to achieve reactive motion and avoid collision in each subspace.
HCR combines proactive backup node selection and reactive cascade node motion.
In conclusion, HCR outperforms RIM and HCR in terms of the four evaluation metrics on all the aspects whether the network is sparse or dense because of its proactive backup node selection and reactive cascading node motion.
This chapter presents control architecture for motion autonomy to meet the requirements of both deliberative and reactive capabilities.
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