AI in Robotics & Automation

Below is the criteria for Global AI Awards in Robotics & Automation Category:

1. Design (25%)

• Quality, safety, and robustness of system design for autonomous operations or robotic intelligence.
• Seamless integration with hardware, sensors, control systems, and digital infrastructure.
• Ethical and responsible design ensuring safety, transparency, and human–machine collaboration.
• Scalability and adaptability across industries (manufacturing, logistics, healthcare, defense, etc.).

2. Impact (35%)

• Demonstrated improvements in operational efficiency, precision, safety, and productivity.
• Measurable outcomes such as reduced downtime, error rates, or operational costs.
• Contribution to workplace safety, sustainability, and workforce empowerment.
• Influence on advancing industrial automation, robotics innovation, or autonomous systems.

3. Creativity (25%)

• Innovative applications of AI in robot perception, navigation, manipulation, or human interaction.
• Unique use of reinforcement learning, computer vision, or multimodal AI for intelligent automation.
• Pioneering integrations with edge computing, digital twins, or swarm robotics.
• Differentiation from conventional automation or robotic systems through new capabilities or intelligence.

4. Ease of Use (15%)

• Accessibility for engineers, operators, and organizations deploying automation systems.
• Intuitive interfaces, simulation tools, and visual programming environments.
• Low barriers to adoption for both SMEs and large enterprises.
• Comprehensive support, documentation, and training resources for safe and efficient use.