ARISE aims to realise a robotic platform that focuses on two crucial industrial sectors that can drive the European Green Deal progress, namely Energy and Agriculture. ARISE will be driven by the needs of Solar Panel installation and maintenance and the harvesting of hydroponic lettuce. AIRISE’s objectives can be summarised as following:
- Develop a novel, pneumatic-based reconfigurable manipulator with advanced soft end-effectors capable of operating in environments with high risk of dust or water ingression while carrying out tasks involving both high forces/torques and delicate, complex manipulation
- Develop a Hierarchical Imitation Learning module, grounded on acquired knowledge alongside task planning algorithms with reactive planning capabilities including human-robot interaction.
- Develop an Ontological framework for Knowledge Representation to enable robust and fault-tolerant collaboration and autonomous task completion through reasoning based on domain-specific fact
understanding - Develop a cognitive algorithm module encompassing Active Perception, Semantic Mapping and Localisation capabilities to fuse and orchestrate perception modalities in a dynamic context-aware that will enable identification changes in the environment and autonomous operation for longer periods while maintaining trustworthiness and dependability
- Establish an edge-native, resource-optimised and automated computing infrastructure able to support dynamic computing at the Cloud-Edge continuum realising an ecosystem where ML-models for new tasks and/or applications are efficiently updated deployed on-board the robot or in a distributed manner.