Publications by authors named "Rajmeet Singh"

Article Synopsis
  • Recent advancements in smart greenhouses focus on using computer vision and robotics for efficient flower pollination, with robotic methods reducing labor and preserving pollen.
  • This study aims to develop a comprehensive approach for detecting and labeling tomato flowers using transfer learning techniques with YOLOv5 and YOLOv8 models, finding YOLOv8 to outperform YOLOv5 in accuracy and speed.
  • The research also integrates the detection model within a gantry robot's design, utilizing a position-based visual servoing method to enhance the robotic pollination process.
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Human-robot interaction is of the utmost importance as it enables seamless collaboration and communication between humans and robots, leading to enhanced productivity and efficiency. It involves gathering data from humans, transmitting the data to a robot for execution, and providing feedback to the human. To perform complex tasks, such as robotic grasping and manipulation, which require both human intelligence and robotic capabilities, effective interaction modes are required.

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One of the most frequently used approaches to represent collaborative mapping are probabilistic occupancy grid maps. These maps can be exchanged and integrated among robots to reduce the overall exploration time, which is the main advantage of the collaborative systems. Such map fusion requires solving the unknown initial correspondence problem.

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