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Image The R1 robot

The R1 robot

R1 is a service robot designed at IIT starting from the experience and know-how of the iCub (with which it shares the software API). R1 is 1.3m tall. The torso is equipped with a mechanism that allows varying its height from a minimum of 1.15m to a maximum of 1.45m. R1 has an especially small footprint to move in cluttered office/home/mall environments. R1 is safe for interaction. Arm joints contain a simple torque overload protection, which behaves as a clutch mechanisms providing intrinsic safety. In addition, R1 can be torque controlled (active torque control) via read outs from two 6-axial force-torque sensors and tactile pressure sensors in the hands and forearms. R1 has two eight degree of freedom (DoF) arms. The target payload is 1.5kg in the fully stretched configuration – reaching at 0.7m distance from the robot’s body. The robot has two four-DoF, two degrees of actuation (DOA) hands. The hands are equipped with distributed pressure sensors, joint angle encoders and series elastic actuators to allow monitoring grip forces. The robot has a two-DoF head equipped with sensors and devices for HRI. The robot mounts an Xtion Pro Live RGBD sensor, for depth sensing. Higher performance depth sensors are possible. The head also mounts a Leopard Imaging OV580 twin camera module, which allows for multiple configurable video resolutions and sampling rates. The head also integrates eight microphones, a loudspeaker and a special, custom designed, programmable RGB LED matrix.

Key features:
  • Sensors: cameras (2), RGBD camera, microphones (up to 8), joint encoders (28), inertial sensors (linear, angular, compass), capacitive tactile sensors (~1000), 6-axis force/torque sensors (2), lasers (2)
  • Footprint: 40cm
  • Weight: 51kg
  • Payload (hand): 1.5kg
  • Degrees of freedom: 28
  • Height: 130cm up to 145cm
  • Middleware: YARP, ROS
Possible applications:
  • Human-Robot Interaction
  • Vision – including 3D vision, object recognition, visuo-tactile integration
  • SLAM/navigation
  • Study mobile manipulation
  • Artificial Intelligence
  • Service robotics target

Technical specifications

Hands:2 DoF
Arms:8 DoF
Skin sensors:Capacitive, ~1000 sensing points
Max force at the hand:1.5kg
Cameras:640×480 RGB @30fps
Power supply:48V/onboard battery
Head:2 DoF
Torso:4 DoF
Base:2 DoF

Access information

Corresponding infrastructureInstituto Italiano di Tecnologia
iCub Facility
LocationVia Morego, 30, 16163 Genova GE, Italy
Unit of accessWorking day

Additional information

Additional example of applications may be found https://github.com/robotology


Coronavirus pandemic

Dear TERRINet applicants and future users,

we sincerely hope that you are staying safe in these challenging times that we are facing at the moment. The current emergency due to the COVID-19 pandemic has deeply changed our lives. The recent and progressive lock-down forced us to reorganize our working routines in smart working modalities and to shut down the TERRINet infrastructures. Therefore, we regret to inform you that Trans-National Access has been suspended until further notice.

However, we would like to reassure you that we will keep evaluating the proposals submitted for Trans-National Access regularly. Indeed, despite access cannot be allowed for a while, the selected users will be queued and access will take over gradually as soon as the situation will allow it. We also inform you that a special application mechanism has been settled in TERRINet to mitigate the delays that will occur due to the COVID-19.

The Open Call no. 4 is currently open: we are accepting proposals under the new mechanism called "first come, first served". Proposals are directly forwarded to the evaluation panel as soon as they are submitted. Proposals submitted closer to the deadline will be dispatched after that. The deadline for the Open Call n.4 will be on May 31, 2020.

Do not hesitate! Get this unique opportunity to be granted with fully-covered access (including travel and accommodation costs) to 15 leading European robotics labs and 100+ best robotic platforms and to get in touch with leading robotic experts. 

For any additional questions, please, contact us at info@terrinet.eu

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TERRINet team