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Cobotic in industrial environment for agile de- and re- manufacturing

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The research project CIRCULAR is offering PhD thesis on :
- Cobotic in industrial environment for agile de- and re- manufacturing at Grenoble Alpes university, LIG Laboratory

SUBJECT DESCRIPTION :
Context
Automation traditionally targets production systems are designed for large quantities of similar products. Future de- and re- manufacturing structures demand however completely different organizations and workflows, with small quantities of highly variable and customized products and precise diagnosis requirements. In this case, human-machine cooperation must be made more agile, in shared workplaces, on the contrary to traditional automation where humans and robots work in strictly separated spaces for safety reasons. In this common workspace, safety of the operators is ensured by monitoring the common workspace with a 3D sensor positioned on infrastructure and by a continuous adaptation of the robot tasks and trajectories according to the current position and motion of the operator in order to guarantee his/her safety at all time.

- Subject
The PhD thesis will focus on safety of the operators when they cooperate with industrial robots in a common workspace. It will explore the different aspects related to safety of the operators and cooperation with industrial robots :
i) Regarding perception : the common workspace will be monitored with a 3D sensor in order to know the operator’s and the robot’s position. From this perception, we wish to build a perception model (ie, virtual safety zones, skeleton…) of the operator and the robot. This problem of perception remains open because there is no solution allowing to perceive in real time an environment with a 3D sensor. The scientific challenges associated with this perceptual problem arise from the fact that sensor data are generally noisy and imprecise. Moreover, it is impossible to perceive the whole operator at any moment, because certain parts of the body are hidden. It is also difficult to know the different parts of the body and determine their dynamics in order to predict a potential collision. Finally, there are currently no solutions computing in real time, the collisions in the space between two entities (ie, an operator and a robot) composed of many articulations ;
ii) Regarding control : the robot must be able to integrate these constraints into the realization of its task. This assumes that at each moment the robot must decide if it can always carry out its task and, in this case, adapt its behavior to the constraints. Moreover, different working modes should be defined for the robot according to the operator’s position in the common workspace. For instance, in the worst case, the robot must detect that it can no longer carry out its task while ensuring the safety of the operator and in this case stop its work. Finally, it must be done taking into account that the constraints change in real time and that the perception of the environment is not perfect ;
iii) Finally, perception and control will be integrated on a demonstrator to show that the combination of these two streams of research will allow us to provide the necessary level of safe workspace sharing required for de- and re- manufacturing.
Methods/Deliverables :
1. Design of an experimental setup : During the first year, the PhD candidate will investigate the perception devices (3d laser, 3D camera…) and the industrial robot that can be used to perceive the collaborative environment and to perform collaboration between an operator and a robot while ensuring safety of the operator. He will as well study state of the art on perception techniques and control of industrial robots ;
2. First experiment focused on perception of the environment : the PhD candidate will develop an API to perceive the collaborative environment and to determine the respective positions of the operator and of the industrial robot. In a second step, he will characterize different levels of safety for the operator according to these respective positions ;
3. Second experiment with perception and control : the PhD candidate will extend the API to control the industrial robot according to the level of safety going from “complete stop” if the operator is very close to the industrial robot to “normal behavior” if the operator is far enough of the operator. The key point will be to determine the intermediate situations between these two extremities and to define the associated control of the industrial for each situation.

For futher information please download the file

Cobotic in industrial environment for agile de- and re- manufacturing