Safety for automated warehouse exhibiting collaborative robots
The trend of automation in industrial production has led to massive use of autonomous robots. In classical approaches, safety is usually guaranteed by isolating robots from humans. Collaborative robots, i.e., humans and robots working together, are expected to increase both productivity and performa...
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| Published in: | Safety and Reliability - Safe Societies in a Changing World pp. 2021 - 2028 |
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| Main Authors: | , , , , , |
| Format: | Book Chapter |
| Language: | English |
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CRC Press
2018
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| Edition: | 1 |
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| ISBN: | 0815386826, 9780815386827 |
| Online Access: | Get full text |
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| Abstract | The trend of automation in industrial production has led to massive use of autonomous robots. In classical approaches, safety is usually guaranteed by isolating robots from humans. Collaborative robots, i.e., humans and robots working together, are expected to increase both productivity and performance. However, removing fences and putting the robot working in collaboration with humans causes new hazardous situations. Therefore, proper risk assessment should be performed to avoid those hazardous situations without compromising the productivity. We present an automated warehouse where autonomous robots load trucks with products while sharing the same environment with human workers. In this position paper we propose a safety strategy that is modeled based on dynamic safety fields around the robot, which is consistent with important guidelines in collaborative robotics (i.e., ISO15066). We propose three different safety levels of dynamic fields: red (critical), yellow (warning) and green (clear). Instead of completely stopping the robot in the presence of humans it can keep performing its operations with some enforced constrains for safety reasons. We also propose a risk assessment of hazardous situations based on proprioceptive and exteroceptive data. This evaluation generates different warnings or actions to be performed based on those safety levels and is responsible for changing the size of the dynamic fields.
This chapter proposes a safety strategy that is modeled based on dynamic safety fields around the robot, which is consistent with important guidelines in collaborative robotics. It describes an automated warehouse where autonomous robots load trucks with products while sharing the same environment with human workers. The chapter presents three different safety levels of dynamic fields: red, yellow and green. It also proposes a risk assessment of hazardous situations based on proprioceptive and exteroceptive data. However, the distance is calculated based on sensor data only and no risk assessment or safety analysis is performed. The chapter describes the basic architecture model with some core functionalities necessary to provide all the features of an automated logistics warehouse with collaborative robots. It examines a safety strategy that combines the safety analysis performed globally by the warehouse controller (offline safety analysis) and locally by the robot itself (online safety analysis). |
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| AbstractList | The trend of automation in industrial production has led to massive use of autonomous robots. In classical approaches, safety is usually guaranteed by isolating robots from humans. Collaborative robots, i.e., humans and robots working together, are expected to increase both productivity and performance. However, removing fences and putting the robot working in collaboration with humans causes new hazardous situations. Therefore, proper risk assessment should be performed to avoid those hazardous situations without compromising the productivity. We present an automated warehouse where autonomous robots load trucks with products while sharing the same environment with human workers. In this position paper we propose a safety strategy that is modeled based on dynamic safety fields around the robot, which is consistent with important guidelines in collaborative robotics (i.e., ISO15066). We propose three different safety levels of dynamic fields: red (critical), yellow (warning) and green (clear). Instead of completely stopping the robot in the presence of humans it can keep performing its operations with some enforced constrains for safety reasons. We also propose a risk assessment of hazardous situations based on proprioceptive and exteroceptive data. This evaluation generates different warnings or actions to be performed based on those safety levels and is responsible for changing the size of the dynamic fields.
This chapter proposes a safety strategy that is modeled based on dynamic safety fields around the robot, which is consistent with important guidelines in collaborative robotics. It describes an automated warehouse where autonomous robots load trucks with products while sharing the same environment with human workers. The chapter presents three different safety levels of dynamic fields: red, yellow and green. It also proposes a risk assessment of hazardous situations based on proprioceptive and exteroceptive data. However, the distance is calculated based on sensor data only and no risk assessment or safety analysis is performed. The chapter describes the basic architecture model with some core functionalities necessary to provide all the features of an automated logistics warehouse with collaborative robots. It examines a safety strategy that combines the safety analysis performed globally by the warehouse controller (offline safety analysis) and locally by the robot itself (online safety analysis). |
| Author | Inam, Rafia Hata, Alberto Nascimento, Amadeu Souza, Ricardo Fersman, Elena Raizer, Klaus |
| Author_xml | – sequence: 1 givenname: Rafia surname: Inam fullname: Inam, Rafia – sequence: 2 givenname: Elena surname: Fersman fullname: Fersman, Elena – sequence: 3 givenname: Klaus surname: Raizer fullname: Raizer, Klaus – sequence: 4 givenname: Ricardo surname: Souza fullname: Souza, Ricardo – sequence: 5 givenname: Amadeu surname: Nascimento fullname: Nascimento, Amadeu – sequence: 6 givenname: Alberto surname: Hata fullname: Hata, Alberto |
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| Copyright | 2018 Taylor & Francis Group, London, UK © 2018 United Technologies Corporation, Farmington, CT, USA, published with permission 'Lessons learned from an unexpected uranium accumulation event' by D.G. Harrison & A. Smith, © U.S. Government work |
| Copyright_xml | – notice: 2018 Taylor & Francis Group, London, UK © 2018 United Technologies Corporation, Farmington, CT, USA, published with permission 'Lessons learned from an unexpected uranium accumulation event' by D.G. Harrison & A. Smith, © U.S. Government work |
| DOI | 10.1201/9781351174664-254 |
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| Discipline | Engineering |
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| Editor | Haugen, Stein Kongsvik, Trond Barros, Anne van Gulijk, Coen Vinnem, Jan Erik |
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| Keywords | Safety Fields Human Reliability Analysis Digital Twin Safety Strategy Cyber Physical Systems LiDAR Collaborative Work Space Stop Category Safety Analysis Omnidirectional Mobile Robots Collaborative Operations Distance Monitoring Minimal Cut Sets Robot Working Reliability Blocks Diagrams Gamma Process Collaborative Scenarios Mobile Robots Risk Assessment Algorithm Virtual Circle Collaborative Robots Bluetooth Low Energy Imu Data CSN |
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| PublicationTitle | Safety and Reliability - Safe Societies in a Changing World |
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| Snippet | The trend of automation in industrial production has led to massive use of autonomous robots. In classical approaches, safety is usually guaranteed by... |
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| Title | Safety for automated warehouse exhibiting collaborative robots |
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