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ICRA
2005
IEEE
109views Robotics» more  ICRA 2005»
13 years 11 months ago
Toward 30-gram Autonomous Indoor Aircraft: Vision-based Obstacle Avoidance and Altitude Control
Abstract— We aim at developing autonomous microflyers capable of navigating within houses or small built environments. The severe weight and energy constraints of indoor flying...
Jean-Christophe Zufferey, Dario Floreano
KES
2005
Springer
13 years 11 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
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
13 years 3 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
ICRA
2003
IEEE
154views Robotics» more  ICRA 2003»
13 years 11 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
CDC
2008
IEEE
107views Control Systems» more  CDC 2008»
14 years 7 days ago
Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithm
— The Tunnel-MILP algorithm is a three stage path planning method for 2-D environments that relies on the identification of a sequence of convex polygons to form an obstacle fre...
Michael P. Vitus, Steven Lake Waslander, Claire J....