SLAM

Videos

Multi-robot SLAM

The next video shows the a run of the multi-robot SLAM agorithm, using linear features and M-Space representation. Two Pioneer 3AT robots explore the second floor of our Department (about 3000 m^2), starting from different unknown locations. When they meet, relative measurements are taken and the local maps are merged together.

(2010). Multi-robot SLAM using M-Space feature representation. Proceedings of the 49th IEEE Conference on Decision and Control.

PDF

(2012). Cooperative SLAM using M-Space representation of linear features. Robotics and Autonomous Systems.

PDF DOI



Single-robot SLAM

The next two videos show a Pioneer 3AT mobile robot performing SLAM in our former lab, under Bernardino Fungai’s “Last Supper” fresco (15th century). The non orthogonal walls in the final map are actually like this old building is made!

(2005). Mobile robot SLAM for line-based environment representation. Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference.

PDF

(2005). Simultaneous localization and map building using linear features. Proceedings of the 2nd European Conference on Mobile Robots.

PDF






The next video shows the effect of loop closure in a simulated environment. Notice how the map is registered when the robot recognizes already visited places.

Collective motion

Videos

Circular motion

The next videos show the application of a distributed control law for nonholonomic vehicles. The first video shows a simulation of four unicycles tracking a moving target while rotating around it.

(2005). Collective circular motion of multi-vehicle systems with sensory limitations. Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference.

PDF

(2008). Collective circular motion of multi-vehicle systems. Automatica.

PDF DOI



The second video shows an experiment of circular motion about a stationary target performed with a team of LEGO Mindstorms robots.

(2007). Experimental validation of a decentralized control law for multi-vehicle collective motion. Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

PDF

(2009). A LEGO Mindstorms experimental setup for multi-agent systems. Proceedings of the 3rd IEEE Multi-Conference on Systems and Control.

PDF

(2010). Experimental validation of collective circular motion for nonholonomic multi-vehicle systems. Robotics and Autonomous Systems.

PDF DOI

HSFM

Videos

Pedestrian dynamics

The next few videos show simulations of the Headed Social Force Model in order to reproduce the behavior of pedestrians moving in different scenarios.

(2016). When Helbing meets Laumond: The Headed Social Force Model. Proceedings of the 55th IEEE Conference on Decision and Control.

PDF

(2017). Walking ahead: The Headed Social Force Model. PloS One.

PDF DOI


The first video shows a comparison of the standard SFM (sSFM) and the Headed SFM (HSFM) when simulating of a group of 20 pedestrians walking in the same direction in a 7m-wide corridor, passing through a 2m-wide door, at a desired speed of 1.5 m/s.



The next video shows the simulation of a visit at the museum with and without cohesion forces.



The next video shows a sensitivity analysis of the HSFM trajectories with respect to variations in the model parameters



The next video shows a simulation of 200 pedestrians evacuating a 15x15m room passing through a 1meter-wide door at a desired speed of 1.5m/s.



The next video shows a comparison of the SFM and the HSFM with their modified versions, which allow pedestrians to avoid deadlock.