A vision based human robot interface for robotic walkthroughs in a biotech laboratory.

Wojtczyk, Martin; Panin, Giorgio; Lenz, Claus; Röder, Thorsten; Nair, Suraj; Roth, Erwin; Knoll, Alois; Heidemann, Rüdiger; Joeris, Klaus; Zhang, Chun; Burnett, Mark Thornton; Monica, Tom

doi:10.1145/1514095.1514190

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…The use of mobile robots will influence this development. Several applications using mobile robots in life science laboratories have been described [1][2][3]. The connection of originally separated automation plants which now needs to pass laboratories and corridors which in parallel are used by human operators leads to novel challenges regarding occupational safety.…”

Section: Introductionmentioning

confidence: 99%

Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots

Neubert

Roddelkopf

Al-Okby

et al. 2021

Sensors

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In recent years the degree of automation in life science laboratories increased considerably by introducing stationary and mobile robots. This trend requires intensified considerations of the occupational safety for cooperating humans, since the robots operate with low volatile compounds that partially emit hazardous vapors, which especially do arise if accidents or leakages occur. For the fast detection of such or similar situations a modular IoT-sensor node was developed. The sensor node consists of four hardware layers, which can be configured individually regarding basic functionality and measured parameters for varying application focuses. In this paper the sensor node is equipped with two gas sensors (BME688, SGP30) for a continuous TVOC measurement. In investigations under controlled laboratory conditions the general sensors’ behavior regarding different VOCs and varying installation conditions are performed. In practical investigations the sensor node’s integration into simple laboratory applications using stationary and mobile robots is shown and examined. The investigation results show that the selected sensors are suitable for the early detection of solvent vapors in life science laboratories. The sensor response and thus the system’s applicability depends on the used compounds, the distance between sensor node and vapor source as well as the speed of the automation systems.

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Section: Introductionmentioning

confidence: 99%

Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots

Neubert

Roddelkopf

Al-Okby

et al. 2021

Sensors

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“…In the presented system, a computer-vision-based controller was provided for multiple OzTug robots for the transportation paths; a strategy to organize the OzTug robots was also considered. M. Wojtczyk et al studied a vision-based human robot interface for robotic walkthroughs in a biotechnology laboratory [4]. They employed a mobile robot to transfer biotechnology facilities.…”

Section: Introductionmentioning

confidence: 99%

A Fast Approach to Arm Blind Grasping and Placing for Mobile Robot Transportation in Laboratories

Liu

Stoll²,

Junginger

et al. 2014

International Journal of Advanced Robotic Systems

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This paper presents a fast approach to organizing arm grasping and placing manipulations for mobile robot transportation systems in life science laboratories. The approach builds a blind framework to realize the robot arm operations without integrating any other sensors or recognizing computation, but only adopting the robot's existing on-board ultrasonic sensors originally installed for collision avoidance. To achieve high-precision indoor positioning performance for the proposed blind arm strategy, a hybrid method is proposed, including a StarGazer system for all laboratory environments and an ultrasonic sensor-based component for the local areas where the arm operations are expected. At the same time, two error-correcting algorithms are presented for the improvement of the high-precision localization and the selection of the robot arm operations. In addition, the architecture of all the robotic controlling centres and their key APIs are also explained. Finally, an experiment proves that the proposed blind strategy is effective and economically viable for the laboratory automation.

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A new method for mobile robot arm blind grasping using ultrasonic sensors and Artificial Neural Networks

Liu

Stoll

Junginger

et al. 2013

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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A vision based human robot interface for robotic walkthroughs in a biotech laboratory.

Cited by 4 publications

References 5 publications

Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots

Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots

A Fast Approach to Arm Blind Grasping and Placing for Mobile Robot Transportation in Laboratories

A new method for mobile robot arm blind grasping using ultrasonic sensors and Artificial Neural Networks

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