Field Robotics
Field robotics focuses on developing and deploying robots for tasks in unstructured outdoor environments, aiming to improve efficiency and safety in diverse applications. Current research emphasizes robust perception using computer vision (including CNNs and vision transformers) and advanced navigation algorithms (like model predictive control and uncertainty-aware methods) to handle challenging terrains and conditions. These advancements are crucial for addressing real-world problems across agriculture (e.g., precision spraying, weeding), environmental monitoring, search and rescue, and other domains, driving innovation in both robotics and related fields.
Papers
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