TIMAIRIS: Autonomous Blank Feeding for Packaging Machines

Current packaging machine vendors do not provide any automated mechanism for blank feeding and the state of the art is to have a human operator dedicated to feed the blank piles to the packaging machine. This is a tedious, repetitive and tiring task. This also results in problems with unintentional errors, such as using the wrong pile of blanks. An alternative solution is the use of a fixed robotic arm surrounded by a protective cage. However, this solution is restricted to a single packaging machine, a unique type of blank shapes and does not cooperate with humans. TIMAIRIS is a joint effort between IMA S.p.A., Italy, (IMA) and the Universidade de Aveiro, Portugal, (UAVR), promoted by the European Robotics Challenges (EuRoC) project. Together, we propose a system based on a mobile manipulator for flexible, autonomous and collaborative blank feeding of packaging machines on industrial shop floor. The system provides a software architecture that allows a mobile robot to take high level decisions on how the task should be executed, which can depend on variables such as the number of packaging machines to feed and the rate of blank consumption at each one. Through a computer vision system, blanks of different shapes and sizes are correctly identified for adequate manipulation. The manipulation of the piles of blanks is performed using a single arm using compliant modes of operation to increase manipulation safety and robustness. Additionally, it has a safe navigation system that allows the robot to be integrated in an industrial environment where humans are present. Finally, it provides an enhanced multimodal interaction between human and robot that can be adapted to the environment and operator characteristics to make communication intuitive, redundant and safe.

[1]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[2]  Andrew Coles,et al.  Forward-Chaining Partial-Order Planning , 2010, ICAPS.

[3]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[4]  Lorenzo Molinari Tosatti,et al.  Safe Human-Robot Cooperation in an Industrial Environment , 2013 .

[5]  Nico Blodow,et al.  Towards 3D Point cloud based object maps for household environments , 2008, Robotics Auton. Syst..

[6]  Nuno Lau,et al.  A Scan Matching Approach to SLAM with a Dynamic Likelihood Field , 2016, 2016 International Conference on Autonomous Robot Systems and Competitions (ICARSC).

[7]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[8]  Radu Bogdan Rusu,et al.  Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments , 2010, KI - Künstliche Intelligenz.

[9]  Nuno Lau,et al.  Improving and Benchmarking Motion Planning for a Mobile Manipulator Operating in Unstructured Environments , 2017, EPIA.

[10]  Luís Seabra Lopes,et al.  An orthographic descriptor for 3D object learning and recognition , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[11]  Bernardo Cunha,et al.  A Skill-Based Architecture for Pick and Place Manipulation Tasks , 2015, EPIA.

[12]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[13]  Karon E. MacLean,et al.  Gestures for industry Intuitive human-robot communication from human observation , 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[14]  Luís Paulo Reis,et al.  Rich and robust human-robot interaction on gesture recognition for assembly tasks , 2017, 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC).

[15]  Bruno Siciliano,et al.  EuRoC - The Challenge Initiative for European Robotics , 2014, ISR 2014.

[16]  Luís Paulo Reis,et al.  Skill-based anytime agent architecture for logistics and manipulation tasks: EuRoC Challenge 2, Stage II - Realistic Labs: Benchmarking , 2017, 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC).

[17]  Rainer Bischoff,et al.  The Strategic Research Agenda for Robotics in Europe [Industrial Activities] , 2010 .

[18]  Il Hong Suh,et al.  Robust robot knowledge instantiation for intelligent service robots , 2010, Intell. Serv. Robotics.

[19]  Natàlia Hurtós,et al.  ROSPlan: Planning in the Robot Operating System , 2015, ICAPS.