TORO - Tree-based NetwORk Optimizer |
TORO is an optimization approach for 2D and 3D constraint-networks. It provides a highly efficient, gradient descent-based error minimization procedure. In 2006, Olson et al. presented a novel approach to solve the graph-based SLAM problem by applying stochastic gradient descent to minimize the error introduced by constraints. TORO is an extension of Olson's algorithm. It applies a tree parameterization of the nodes in the graph that significantly improves the performance and enables a robot to cope with arbitrary network topologies. The latter allows us to bound the complexity of the algorithm to the size of the mapped area and not to the length of the trajectory.
| MuFly |
MuFly is an auropean projecy whose goal is to design a fully autonomous helicopter comparable in size and weight to a small bird. Withing this project I am responsible of the localization, SLAM and navigation subsystem.
GMapping is highly efficient Rao-Blackwellized particle filter for learning grid maps I developed together with Cyrill Stachniss. The ideas are
This project is a cooperation between the EPLF in Lausanne and the University of Freiburg. The goal is to build an automous (Smart) car.
|CARMEN - The
Carnegie Mellon Robot Navigation Toolkit.
CARMEN is an open-source collection of software for mobile robot control. CARMEN is modular software designed to provide basic navigation primatives including: base and sensor control, logging, obstacle avoidance, localization, path planning, and mapping.
|OpenSLAM.org - The resource for open source SLAM implementations. |
The simultaneous localization and mapping (SLAM) problem has been intensively studied in the robotics community in the past. Different techniques have been proposed but only a few of them are available as implementations to the community. The goal of OpenSLAM.org is to provide a platform for SLAM researchers which gives them the possibility to publish and promote their algorithms.
The RoboCare Project|
I designed the navigation subsystem for the RoboCare Project, together with Andrea Censi and Gian Diego Tipaldi.
The goal of the RoboCare project is to build a multi-agent system which generates user services for human assistance. The system is to be implemented on a distributed and heterogeneous platform, consisting of a hardware and software prototype.
The use of autonomous robotics and distributed computing technologies constitutes the basis for the implementation of a user service generating system in a closed environment such as a health-care institution or a domestic environment. The fact that robotic components, intelligent systems and human beings are to act in a cooperative setting is what makes the study of such a system challenging, for research and also from the technology integration point of view.
| SPQR - Rome
Robot Team |
S.P.Q.R. (Soccer Player Quadruped Robots, but also Senatus PopolusQue Romanus) is the group of the Faculty of Engineering at University of Rome ``La Sapienza'' in Italy, that is involved in RoboCup competitions since 1998 in different leagues (Middle-size 1998-2002, Four-legged since 2000, Real-Rescue robots since 2003).
| Italian Search
and Rescue Project |
The objective of this project is to develop a prototype tool, based on the RoboCup-Rescue simulator, to permit monitoring and supporting decisions which are needed in a real-time rescue operation in a large scale disaster, by integrating competences and tools already available to the DGPCSA (Direzione Generale della Protezione Civile e dei Servizi Antincendi), and using as a case-study event the Marche and Umbria earthquake in Fall 1997.