Review of vision-based safety systems for human-robot collaboration

Halme, Roni-Jussi; Lanz, Minna; Kamarainen, Joni; Pieters, Roel; Latokartano, Jyrki; Hietanen, Antti

doi:10.1016/j.procir.2018.03.043

Cited by 110 publications

(41 citation statements)

References 27 publications

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“…To such purpose, the location of the human, along with the location of her/his limbs, must be known in real-time, while the robot itself moves. Inertial sensor-based methods and vision-based can be useful to detect human presence inside collaborative work-space [ 73 ]. In literature, several areas of research deal with human–robot interaction (HRI), aiming to develop robots suitable in a certain work environment [ 54 , 59 ], taking advantage of sensors for manufacturing situation awareness.…”

Section: Smart Domains and Applications In The Iort Systemsmentioning

confidence: 99%

Internet of Robotic Things in Smart Domains: Applications and Challenges

Romeo

Petitti

Marani

et al. 2020

Sensors

102

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With the advent of the Fourth Industrial Revolution, Internet of Things (IoT) and robotic systems are closely cooperating, reshaping their relations and managing to develop new-generation devices. Such disruptive technology corresponds to the backbone of the so-called Industry 4.0. The integration of robotic agents and IoT leads to the concept of the Internet of Robotic Things, in which innovation in digital systems is drawing new possibilities in both industrial and research fields, covering several domains such as manufacturing, agriculture, health, surveillance, and education, to name but a few. In this manuscript, the state-of-the-art of IoRT applications is outlined, aiming to mark their impact on several research fields, and focusing on the main open challenges of the integration of robotic technologies into smart spaces. IoRT technologies and applications are also discussed to underline their influence in everyday life, inducing the need for more research into remote and automated applications.

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Section: Smart Domains and Applications In The Iort Systemsmentioning

confidence: 99%

Internet of Robotic Things in Smart Domains: Applications and Challenges

Romeo

Petitti

Marani

et al. 2020

Sensors

102

View full text Add to dashboard Cite

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“…Halme et al present at their review [3] several (15 cases) collision avoidance systems, which apply visionbased technology. There are both pre-and post-collision control methods, but in the text, the focus is on precollision control methods.…”

Section: Background Related To Protective Systems Of Industrial Robotsmentioning

confidence: 99%

“…The text tells also that the systems have not been widely adopted and standardized. The certified (type examined) safety device SafetyEye by Pilz is mentioned [3]. Sensor fusion has been under discussion a long time and technical specification IEC TS 62998-1 "Safety of machinery -Electro-sensitive protective equipment -Safety-related sensors used for protection of person" presents some ideas of the sensor fusion, but uncertified multitude of sensors would be accepted only to relatively low risk applications.…”

Section: Background Related To Protective Systems Of Industrial Robotsmentioning

confidence: 99%

Dynamic safety system for collaboration of operators and industrial robots

et al. 2019

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There is an increasing need to have a safety system, which allows safe collaboration of operators and industrial robots. Industrial robots are powerful and therefore dangerous impacts and crashes need to be prevented by keeping safe distance between moving robot and the operator. Safe distance can be achieved by monitoring the position and speed of the robot and the position of the operator. Separation distance, speeds and performance of the control system, sensors and actuators are regulated by standards, which must be followed. VTT has developed a dynamic safety system, which monitors the speed and separation between persons and the robot in order to keep the stopping distance of the robot small enough to avoid impacts. The dynamic safety system enables safe continuous working beside the robot and automated restarting after a safety-rated monitored stop. An assistance system is applied to switch safety modes of the robot according to separation distance. Configuring and validating the safety system are safety-critical and time-consuming phases of design. Therefore, a configuration tool is required to get a coherent configuration, which support validation process.

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“…Z tego tytułu coraz częściej stosowane są kamery głębi, czy to bazujące na ToF (ang. Time of Flight), czy na emiterach podczerwieni [15]. Wśród dominujących rozwiązań badawczych można wymienić następujące główne aspekty: − wyznaczenie zajętości strefy (odległości człowieka/obiektu od robota) za pomocą podejścia: − klasycznego -z użyciem kamer RGB i algorytmów przetwarzania obrazu [16], − 3D -z użyciem LIDARów, skanerów 3D i tym podobnych [17], − hybrydowego, opartego na fuzji danych z wielu miltimodalnych źródeł [18]; − predykcja trajektorii ruchu człowieka.…”

Section: Systemy Bezpieczeństwa Cobotówunclassified

Safety System for an Industrial Cooperating Robot Based on Depth Cameras

Masłowski¹,

Czubenko²

2019

PAR

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Review of vision-based safety systems for human-robot collaboration

Cited by 110 publications

References 27 publications

Internet of Robotic Things in Smart Domains: Applications and Challenges

Internet of Robotic Things in Smart Domains: Applications and Challenges

Dynamic safety system for collaboration of operators and industrial robots

Safety System for an Industrial Cooperating Robot Based on Depth Cameras

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