Industrial traditional, collaborative and cable robots
The aim of the research group is to develop novel methods and mechanisms to optimize the behaviour of industrial robots (both traditional and collaborative) and cable robots.
OPTIMIZATION OF TASKS
Improving robot efficiency passes also through the optimization of both the robot movements and order of task completition. The research is focused also on redundant robots and tasks, which nowadays are becoming more and more popular.
IMPROVE OPERATOR SAFETY
Collaborative robots are part of the research topic to find new and optimal ways to improve both operator safety and efficiency. This is possible thanks to the development of novel algorithms and mechanisms.
VISION SYSTEMS
Vision systems (both 2D and 3D) can augment robot perception of the world. As a result, it is important to develop algorithms that can exploit vision systems to improve robot workflow.
Robotics Team
Giulio Rosati
Giovanni Boschetti
Alberto Doria
Silvio Cocuzza
Matteo Bottin
Riccardo Minto
Equipment
Industrial traditional robots
The laboratory is equipped with several traditional robots, such as two SCARA robots, one 6-axis robot and a 4-axis parallel robot.
Collaborative robots
Among the laboratory equipment are available two collaborative robots with different kinematics.
Cable robots
An entire workcell is solely dedicated to cable robotics to study safety algorithms and optimize performance.
Vision systems
Several high speed industrial cameras, lenses, filters and mounts allow to analyze all the aspects of a phenomena. Moreover, 3D vision systems are deployed in the laboratory.
Rehabilitation robots
A novel rehabilitation robot has been designed and built inside the laboratory.
Automation
A mechanical laboratory cannot be operational with a variety of motors, drivers, pneumatic cylinders, power supplies.
Latest News
New PRIN PNRR funding – Project ASSIST
The research group has won a PRIN PNRR project on the development of a modular structure portable cable system for easy wearing on arms and legs in motor assistance applications.[…]
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New PRIN funding – Project eXoft
The research group has won a PRIN project on innovative soft-rigid exoskeleton for smart factory. The eXoft project will exploit the collaboration between the University of Padova, Scuola Superiore di[…]
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New PRIN funding – Project DYNAMICA
The research group has won a PRIN project on the easier deployment of cobots in enterprises. The DYNAMICA project (DYNamic Assessment and Mitigation of the Impact of Collaborative Applications) will[…]
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