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AgriRobot
Achieve full autonomy for field robots with a certifiable safety solution that combines ISO 25119 and SOTIF standards to eliminate constant manual monitoring.
Paid only
Price not published
About AgriRobot
AgriRobot provides a specialized safety and autonomy framework designed for Original Equipment Manufacturers (OEMs) in the agricultural sector. The platform addresses the critical challenge of transitioning from semi-autonomous machinery to full autonomy, where a human operator is no longer required to monitor the robot in the field. By integrating functional safety standards like ISO 25119 with the Safety of the Intended Functionality (SOTIF) framework, the tool helps developers navigate the complex regulatory and technical hurdles associated with autonomous farming equipment. This structured approach allows companies to reduce project risk and complexity, ultimately accelerating the development of compliant systems that are ready for commercial release. The system operates by providing certifiable safety solutions, including advanced detection algorithms and 3D radar models that function reliably in harsh agricultural environments. These technical components are designed to create a robust safety function that can detect hazards and ensure high machine uptime. Unlike generic robotics solutions, AgriRobot’s technology is engineered to withstand the specific challenges of the field, such as dust, vibration, and unpredictable terrain. The company works closely with partners to document and test these systems, ensuring that the interoperability between diverse agricultural robotics systems and implements remains smooth and productive. This solution is primarily built for engineering teams and product developers at agricultural machinery companies who are struggling with the normative frameworks of autonomous safety. It is also highly beneficial for vineyard owners and specialty crop producers who require dependable, unattended robot performance to improve operational efficiency. By outsourcing the safety architecture to specialized experts, manufacturers can focus on their core mechanical innovations while ensuring their products meet international safety requirements. The platform provides a pathway for both startups and established brands to scale their autonomous operations without the burden of developing safety logic from scratch. What distinguishes AgriRobot is its dual focus on both theoretical compliance and practical field reliability. The collaboration model involves recurring technical support and direct feedback from field testing, ensuring that the detection algorithms perform as expected in real-world scenarios. By leveraging deep expertise in both functional safety and agricultural robotics, AgriRobot offers a niche solution that bridges the gap between complex safety standards and the practical needs of modern farmers. This allows for the creation of machines that are not only technologically advanced but also safe enough to operate without human intervention.
AgriRobot pros & cons
Pros
- Reduces time to market by simplifying the complexity of autonomous safety compliance.
- Ensures high machine uptime even in difficult and harsh agricultural environments.
- Eliminates the need for constant human monitoring in the field through certifiable autonomy.
- Provides specialized 3D radar models to help visualize and implement safety layers.
- Leverages deep industry expertise specifically in the niche of agricultural robotics.
Cons
- Pricing and contract details are not publicly disclosed and require direct inquiry.
- Requires significant technical collaboration and integration with existing OEM hardware.
- Focused exclusively on agricultural applications rather than general robotics.
- Limited public information regarding the specific sensor hardware compatibility list.
AgriRobot use cases
- OEM engineering teams can integrate certifiable safety functions into their robots to meet international standards without building from scratch.
- Vineyard managers can implement autonomous machines for tasks like weeding, knowing the system handles hazard detection independently.
- Autonomous irrigation startups can use the detection algorithms and radar modeling to ensure mobile systems navigate safely around obstacles.
- Agricultural equipment manufacturers can utilize the platform to reduce project risk when transitioning from manual to autonomous steering.
- Product developers can leverage SOTIF frameworks to address uncertainties in autonomous performance during the prototyping phase.
AgriRobot features
- regulatory compliance mapping
- field performance monitoring
- system interoperability
- autonomous steering support
- hazard detection algorithms
- 3d radar modeling
- sotif framework integration
- iso 25119 functional safety
AgriRobot pricing
Is AgriRobot free? No, AgriRobot doesn't offer a free plan.
Custom Enterprise
Price varies
- ISO 25119 Compliance Support
- SOTIF Framework Integration
- 3D Radar Models
- Advanced Detection Algorithms
- Technical Planning Meetings
- Field Testing Support
- Interoperability Optimization
- Certification Documentation
AgriRobot FAQs
What safety standards does AgriRobot's solution follow?
The platform utilizes a standards-based approach combining ISO 25119 for functional safety with the SOTIF framework. This combination helps manufacturers address hazards and reduce technical complexity in autonomous systems.
Can the system operate in dust or harsh outdoor conditions?
Yes, AgriRobot is specifically engineered for reliability in the harsh environments typical of agricultural fields. It provides high machine uptime and dependable performance even in difficult terrain or poor visibility.
Does this tool eliminate the need for a human operator?
The primary goal is to enable full autonomy, allowing the farmer to operate without an on-site monitor. By implementing a certifiable safety solution, the robot can be trusted to monitor its own environment safely.
How does AgriRobot support the development process for OEMs?
AgriRobot provides recurring meetings for project planning, 3D radar models for technical understanding, and quick feedback during field testing. This collaboration influences product development from the early stages.
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