This is what our IndX partners are looking for in 2025 within the field of autonomy and robotics.
In all Husqvarna Group’s sectors, there is a growing emphasis on autonomy. They are continually searching innovative ideas to navigate and interact within challenging outdoor environments effectively.
To enable autonomous agriculture, it’s essential to employ intelligent technologies that can not only identify and predict component failures but also optimize farming operations and assess the condition of soil and crops.
Väderstad is looking for solutions that could help them anticipate these challenges through predictive maintenance and data-driven diagnostics. Machine learning models will be placed to sift through data to detect potential issues, while model-based diagnostics will be used to identify any irregularities in machinery behavior.
Autonomy: Saab is always looking to advance in airborne autonomy, focusing on collaborative autonomous agents’ real-time mission capabilities through observation, reasoning, decision-making, and action. Key areas include sensor data analysis for situational awareness, self-monitoring, comprehensive situation assessment, and adaptive mission planning based on success probabilities and risk management.
Robotics: Operating ground equipment autonomously is an interesting opportunity for future aero-operations.This can be in the form of automated pushbacks, supported taxiing or an autonomous refueling and reloading capability at a remote operating base. While an all-in-one solution is ideal, Saab seeks any technologies that contribute to autonomous ground equipment’s development.
Toyota Material Handling’s autonomous products, including forklifts, often interact with humans. The goal is not to replace human labor but to foster a collaborative working relationship between humans and machines. This requires systems that are intelligent enough to recognize and adapt to the nuances of human interaction. Ensuring efficient and safe interactions between humans and robots is one of oTMHE’s most significant challenges for the future.
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