Miniaturized, yet highly sensitive and fast LiDAR systems serve market demands for their use on platforms ranging from robots, drones, and autonomous vehicles (cars, trains, boats, etc.) that are mostly used in complex environments. The widespread use of high performance LiDAR tools faces a need for cost and size reduction. A key component of a LiDAR system is the light source. Very few laser light sources exist that provide sufficient performance to achieve the required distance range, distance resolution and velocity accuracy of the emerging applications identified in LiDAR roadmaps. The available sources, namely single mode or multimode laser diodes and fiber lasers, are either very costly, not sufficiently robust or not compact enough. In OPHELLIA, we will investigate advanced materials and integration technologies directed to produce novel PIC building blocks, namely high gain, high output power (booster) amplifiers and on-chip isolators that are not yet available in a PIC format with the required performance. The novel building blocks will be monolithically integrated onto the Si3N4 generic photonic platform to produce high performance laser sources with unprecedented high coherence and high power, which will have a profound impact on the performance of the systems. Advanced packaging will further contribute to a dramatic reduction of the overall cost. To achieve this ambitious goal, OPHELLIA will leverage the expertise of its consortium members, ranging from materials, integration technologies and PIC design to packaging and LiDAR systems integration, which covers the full chain from innovation to the deployment of the technology in a relevant environment. The successful realization of OPHELLIA will not only represent a milestone towards the widespread utilization of LiDAR systems, but the developed building blocks will also have an enormous impact in other emerging application fields such as datacom/telecom, sensing/spectroscopy and quantum technology.

The productivity of the serial production model is compromised by the need to perform changes in the production equipment that cannot support multiple operations in dynamic environments. Low cost labour is no longer an option for EU manufacturers due to the fast rise of wages and the increasing costs of energy and logistics. Manual tasks cannot be fully automated with a good ratio of cost vs robustness using standard robots due to: high product variability, dedicated process equipment and high cost of maintenance by expert users. The answer to this challenge lays in the creation of production concepts that base their operation on the autonomy and collaboration between production resources. The vision of THOMAS is: “to create a dynamically reconfigurable shopfloor utilizing autonomous, mobile dual arm robots that are able to perceive their environment and through reasoning, cooperate with each other and with other production resources including human operators”. The objective of THOMAS are to: - Enable mobility on products and resources. Introducing mobile robots able to navigate in the shopfloor and utilize dexterous tooling to perform multiple operations. - Enabling perception of the task and the environment using a) the individual resource’s and b) collaborative perception by combining sensors of multiple resources - Dynamic balancing of workload. Allowing the resources to communicate over a common network and automatically adjust their behaviour by sharing or reallocating tasks dynamically. - Fast programming and automatic execution of new tasks by a) automatically generating the robot program for new products and b) applying skills over the perceived environment to determine required adaptations - Safe human robot collaboration, eliminating physical barriers, by introducing cognitive abilities that allow the detection of humans and their intentions THOMAS will demonstrate and validate its developments in the automotive and the aeronautics industrial sectors.