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» Mobile Robot Path Planning in Dynamic Environments
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CDC
2008
IEEE
107views Control Systems» more  CDC 2008»
15 years 4 months 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....
IJRR
2010
111views more  IJRR 2010»
14 years 8 months ago
Robotic Routers: Algorithms and Implementation
Mobile robots equipped with wireless networking capabilities can act as robotic routers and provide network connectivity to mobile users. Robotic routers provide cost efficient so...
Onur Tekdas, Wei Yang, Volkan Isler
ICRA
2006
IEEE
154views Robotics» more  ICRA 2006»
15 years 4 months ago
People Tracking and Following with Mobile Robot using an Omnidirectional Camera and a Laser
Abstract— The paper presents two different methods for mobile robot tracking and following of a fast-moving person in outdoor unstructured and possibly dynamic environment. The r...
Marin Kobilarov, Gaurav S. Sukhatme, Jeff Hyams, P...
AUSAI
2006
Springer
15 years 1 months ago
Intelligent Control of Mobile Agent Based on Fuzzy Neural Network in Intelligent Robotic Space
This paper introduces Fuzzy Neural Network controller to increase the ability of a mobile robot in reacting to the dynamic environments. States of robot and environment, for exampl...
TaeSeok Jin, HongChul Kim, JangMyung Lee
AI
1999
Springer
14 years 9 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda