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The E-star algorithm is a path planning method capable of dynamic replanning and user-configurable path cost interpolation. It calculates a navigation function as a sampling of an underlying smooth goal distance that takes into account a continuous notion ...
This paper presents general ideas on design and implementation of robots to be used together with groups of animals. This work is part of the European project LEURRE aiming to study, model and control mixed societies of animals and robots. After a short pr ...
The Autonomous Systems Lab of EPFL3 is developing, within the framework of an ESA program, an ultra-lightweight solar autonomous model airplane called Sky-Sailor with embedded navigation and control systems. The main goal of this project is to jointly unde ...
Navigating in rough terrain is a complex task that requires the robot to be considered as a holistic system. Algorithms, which don’t consider the physical dimensions and capabilities of the mobile robot lead to inefficient motion and suffer from a la ...
This paper presents an experimental evaluation of different line extraction algorithms on 2D laser scans for indoor environment. Six popular algorithms in mobile robotics and computer vision are selected and tested. Experiments are performed on 100 real da ...
This paper presents a practical method for small-scale VTOL design. It helps for elements selection and dimensioning.We apply the latter to design a fully autonomous quadrotor with numerous innovations in design methodology, steering and propulsion achievi ...
The intent of this paper is to show how the accuracy of 3D position tracking can be improved by considering rover locomotion in rough terrain as a holistic problem. An appropriate locomotion concept endowed with a controller min- imizing slip improves the ...
Navigation in unknown or partially unknown environments remains one of the biggest challenges in today's mobile robotics. Environmental modeling, perception, localization and mapping are all needed for a successful approach. The contribution of this paper ...
Scaling down robots to miniature size introduces many new challenges including memory and program size limitations, low processor performance and low power autonomy. In this paper we describe the concept and implementation of learning of a safewandering ta ...
The development of miniature flying robots has become a reachable dream thanks to the new sensing and actuating technologies. Micro VTOL1 systems represent a useful class of flying robots because of their strong abilities for small-area monitoring and buil ...
