Future Directions of Using Computer Vision in Robotics
- More Robust Algorithms: Exploration of more robust algorithms which do not depend on illumination variations, occlusions or other environmental aspects is the subject of the scientists’ research.
- Efficient Processing Techniques: Modern robotics engineers explore new ways of processing algorithms and low energy consumption by using different robot processing techniques and hardware advancements on-board.
- Explainable AI: Some researchers are working on coming up with AI models that are more transparent, so humans can understand how robots arrive at their own decisions based on what ever they see.
- Synthetic Data Generation: Producing big amount of synthetic training data will enable reducing leverage on real world data and limiting bias in algorithms.
- Human-Robot Collaboration: The robots of the next generation will benefit from being designed to interact well and work alongside with humans. Research is being carried out so that communication and interaction between robots and people can be optimized.
Computer Vision Applications in Robotics
Computer Vision Applications in Robotics have greatly improved what robots can do, allowing them to understand and interact with their surroundings better. This technology is being used in many industries, including manufacturing, healthcare, agriculture, and logistics, making work more efficient and productive. It involves recognizing objects, understanding scenes, and tracking movements. When combined with robotics, Computer Vision provides the ability to see and understand their surroundings.
In this article we will explore about How computer Vision plays role in Robotics, Challenges , Future of Computer Vision in Robotics.