RESCUE

Cooperative Navigation 
for Rescue Robots

 
The official web site: http://rescue.isr.ist.utl.pt/

 


The Project RESCUE carried out at the Institute for Systems and Robotics will endow a team of outdoors robots with cooperative navigation capabilities, so as to demonstrate the ability of the robots to act individually and cooperatively in search and rescue-like operation scenarios. Search and Rescue (SAR) operations are a challenging application for Robotics since, due to their nature, they naturally foster advances in Artificial Vision, Navigation in outdoors unstructured environments, Distributed Artificial Intelligence and Intelligent Control.

This web page addresses mainly the development on the Land Vehicle of the RESCUE project: Localization and Map Building.

 iRobot ATRV-Jr
  • 55 X 77.5 cm - 50 Kg
  • Payload: 25 Kg
  • Onboard Pentium III, Wireless Ethernet IEEE 802.11b
  • 17 sonars
  • SICK Laser LMS
  • Pan and Tilt camera Sony EVI-D31 12x optical zoom
  • Inertial Sensors
  • Electronic Compass
  • GPS
  • 4-wheel differential drive, 2 servo DC motors
  • 3-6 hours autonomy
     

 Photos and Videos: 

 

 Experimental Results: 

Indoors experience: from a room to a corridor Sensors: Laser, sonars, odometry (only velocity) and video (only for ilustration)

 

 

Outdoors experience: in a garden
Sensors: Laser, sonars, odometry (only velocity) GPS, Inertial, compass  and video

 

 

Outdoors / Indoors experience: a building entrance
Sensors: Laser, sonars, odometry (only velocity), GPS, Inertial, compass  and video
  • experience
    includes more photos and datashow (laser and sonar)

 

Outdoors experience:
@ IST campus (Alameda)
Sensors: Laser, sonars, odometry (only velocity), GPS, Inertial, compass  and video

Outdoors experience:
@ Palácio de Cristal - Pavilhão Rosa Mota (Porto)
Sensors: Laser, sonars, odometry (only velocity), GPS, Inertial, compass  and video. The robot moved autonomously (reactive navigation)
Indoors experience:
3D reconstruction using a second Sick Laser
The results are presented using VRML, which requires an appropriate pluggin for your browser.

experience (with different combinations)


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Copyright  2004