Reconfiguration of System for Waste Collection with Robotics Methodologies

  • Alberto Rovetta
Conference paper


The collection of waste can be improved by adopting new methods of monitoring and new strategies for economic and efficient service. Over the past 200 years there have been no particular developments. Today you can reconfigure the systems for collecting, with the methods of robotic autonomous systems. It uses sensors to monitor the containers. Wireless communications and Internet are adopted to control the collection process. Statistical evaluations are performed to optimize the costs. Green waste Project strongly has reconfigured the process of waste collecting, with technical advantages and economic improvements.


Reconfigurable waste collection Management of the waste collection system 



The work was developed within Cleanwings Project, funded by the Ministries of Environment of Italy and China, European—Chinese Project WASTENERGY, European Project Burba (on development).

The author thanks Eng. A. Giusti, F. Vicentini, I. Zangrandi, A. Caravati, D. Ninfa, G. Rama, M. Marino and Dr S. Suevo, A. Desantis for collaboration in projects.


  1. 1.
    Rovetta A, Fan X (2009) Early detection and evaluation of waste through sensorized containers for a collection monitoring application. Waste Manag 29:2939–2949CrossRefGoogle Scholar
  2. 2.
    Vicentini F, Giusti A, Rovetta A, et al (2009) Sensorized waste collection container for content estimation and collection optimization, waste management, 2008. Report of Wastenergy Project, FP7, November 2009Google Scholar
  3. 3.
    Frosch RA (1996) Toward the end of waste: reflections on a new ecology for industry. Daedalus 125:199–212Google Scholar
  4. 4.
    Yan HS, Liu NT (2000) Finite-state-machine representations for mechanisms and chains with variable topologies. In: Proceedings of ASME design engineering technical conference, Baltimore, DETC2000/MECH-14054Google Scholar
  5. 5.
    Kramer J, Magee J (1985) Dynamic configuration for distributed systems. IEEE Trans Softw Eng SE-11(4):424–435Google Scholar
  6. 6.
    Zhang L, Dai JS (2008) Genome reconfiguration of metamorphic manipulators based on lie group theory. In: Proceedings of ASME international design engineering technical conferences & computers and engineering technical conferences, Brooklyn, DETC2008-49906 Google Scholar
  7. 7.
    Rooker M, Ebenhofer G, Strasser T (2009) Reconfigurable control in distributed automation system. In: ASME/IFToMM international conference, pp 705–714Google Scholar
  8. 8.
    Shick PL (2007) Topology: point-set and geometric. Wiley, HobokenMATHCrossRefGoogle Scholar
  9. 9.
    PISA Consortium (2006) PISA—flexible assembly systems through workplace-sharing and time-sharing human–machine cooperation, funded European Integrated Project, contract no. NMP2-CT-2006-026697. Accessed December 2006
  10. 10.
    Koren Y et al (1999) Reconfigurable manufacturing systems. Annals CIRP 48(2):527–540 Google Scholar
  11. 11.
    Ziadat AH, Mott H (2005) Assessing solid waste recycling opportunities for closed campuses. Manag Environ Quality Int J 16(3):250–256Google Scholar
  12. 12.
    User Manual for Greenwaste Project (2011) Report, Department of Mechanics, Politecnico di Milano, December 2011Google Scholar

Copyright information

© Springer-Verlag London 2012

Authors and Affiliations

  1. 1.Laboratorio di Robotica ARIAL, Dipartimento di MeccanicaPolitecnico di MilanoMilanItaly

Personalised recommendations