To pioneer the next generation of agrobots (robots for agriculture), the project can address one of the following innovations:
(1) Advanced robotic capabilities: to achieve reliable autonomy and high performance, developing
novel capabilities for autonomous orchard navigation and versatile manipulators and grippers for different tasks and fruit shapes.
(2) Efficient human-robot teaming: to integrate agrobots with advanced human-robot interaction techniques.
(3) Adaptability and autonomy: autonomy challenge in agrobots via an integrated approach using
machine learning, probabilistic models, and variable autonomy techniques. This approach will enable agrobots to independently plan and adapt to environmental changes, while variable autonomy will facilitate smooth transitions
between manual and autonomous operations, allowing for operator intervention or independent agrobot action as needed.
(4) Uncertainty-aware safety: State-of-the-art methods for identification, estimation, and
management of uncertainties in robotic operations. This uncertainty data will shape safety protocols considering system uncertainty levels, allowing variable autonomy to initiate safety measures or adjust autonomy levels for safe operations.