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RAS
2000
116views more  RAS 2000»
13 years 7 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»
13 years 6 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»
14 years 1 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
14 years 1 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»
14 years 2 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