The laboratory focuses on the development of multi-sensory and cooperative perception systems and methods for the autonomous navigation of mobile robots. The aim is to increase the ability of vehicles to perceive and interpret their environment and to perform assigned tasks autonomously or with limited human supervision, while maintaining appropriate safety standards even in difficult environmental conditions or in the presence of other machines, humans or animals.

The application contexts are diverse and concern in particular industrial automation, precision agriculture, service robotics and ambient intelligence.

The researchers in the laboratory have expertise in electronic, mechanical and computer engineering and have decades of experience in the field of robotic and multi-sensory technologies, as well as Artificial Intelligence.

The laboratory participates in several national and international projects and has numerous collaborations with research institutes and universities in Italy and abroad.

  • Robodyne Explorer 4WD outdoor robotic platform with four motorised and steered wheels, equipped with highly accurate GPS and IMU sensors
  • Universal Robots UR10e arm capable of carrying a payload of up to 10kg with Liftkit to extend its range of action by up to 1m more
  • AscTec Firefly hexacopter drone
  • Butterfly hexacopter drone (f550)
  • custom Mosquito quadricopter drone (f260)
  • PEOPLEBOT Adept MobileRobots mobile robot, oriented towards service robotics and ambient intelligence
  • Pioneer P3-AT MobileRobots mobile robot, for outdoor applications
  • VICON motion capture system, equipped with Bonita 10 high accuracy cameras operating at 250 fps
  • Intel RealSense R200, D415, D435, D455 depth cameras operating with range up to 20m, with colour and depth, also in outdoor environments
  • Intel RealSense T265 location camera based on data fusion of information from visual odometry and inertial sensors on board
  • Intel RealSense L515 Lidar Camera with measurement range from 25cm to 9m in indoor environment
  • e-con STEEReoCAM stereo camera for use with embedded systems such as NVIDIA Jetson equipped with MIPI CSI-2 bus
  • LadyBug 2 PointGrey spherical vision system
  • development of advanced perception systems and methods for ambient awareness and autonomous navigation of robotic vehicles in difficult environments
  • design and development of navigation systems for autonomous vehicles in industrial contexts or inaccessible areas for different purposes such as inspection, surveillance and logistics
  • development of cooperative perception and estimation techniques for robot and sensor networks
  • development of robotic-aided IoT systems and methods