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RAS
2000
116views more  RAS 2000»
14 years 11 months ago
Collision avoidance using a model of the locust LGMD neuron
The lobula giant movement detector (LGMD) system in the locust responds selectively to objects approaching the animal on a collision course. In earlier work we have presented a ne...
Mark Blanchard, F. Claire Rind, Paul F. M. J. Vers...
JIRS
2010
104views more  JIRS 2010»
14 years 10 months ago
On the Generation of Trajectories for Multiple UAVs in Environments with Obstacles
Abstract This paper presents a methodology based on a variation of the Rapidlyexploring Random Trees (RRTs) that generates feasible trajectories for a team of autonomous aerial veh...
Armando Alves Neto, Douglas Guimarães Macha...
ICRA
2003
IEEE
154views Robotics» more  ICRA 2003»
15 years 4 months ago
Obstacle avoidance in formation
Abstract— In this paper, we present an approach to obstacle avoidance for a group of unmanned vehicles moving in formation. The goal of the group is to move through a partially u...
Petter Ögren, Naomi Ehrich Leonard
KES
2005
Springer
15 years 5 months ago
Bayesian Inference Driven Behavior Network Architecture for Avoiding Moving Obstacles
This paper presents a technique for an intelligent robot to adaptively behave in unforeseen and dynamic circumstances. Since the traditional methods utilized the relatively reliabl...
Hyeun-Jeong Min, Sung-Bae Cho
IROS
2009
IEEE
198views Robotics» more  IROS 2009»
15 years 6 months ago
Generalized velocity obstacles
— We address the problem of real-time navigation in dynamic environments for car-like robots. Our approach generalizes the concept of velocity obstacles, which have been used for...
David Wilkie, Jur P. van den Berg, Dinesh Manocha