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๐Ÿš€ 10 Robot Bin Picking Projects for beginners ๐Ÿค–




(Open Source Robots for learning Robotics:ย https://lnkd.in/ec44NKQe)


[NOTE: Links to be shared in a separate blog.]



Looking to venture into the world of Robotics with Bin Picking projects? ๐Ÿค”



Look no further! Here's a curated list of 10 beginner-friendly projects to ignite your Bin Picking journey. ๐Ÿš€


1๏ธโƒฃ Object Heap Recognition ๐Ÿ“ฆ


Project Statement: Identify objects in a random heap within a bin using computer vision.


๐Ÿ› ๏ธ Tools: OpenCV, Python


๐Ÿ“š Concepts: Image Processing, Object Detection


Difficulty Level: โญ



2๏ธโƒฃ Pick-and-Place Simulation ๐Ÿค–


Project Statement: Program a robotic arm to pick up an object from a bin and place it at a designated location.


๐Ÿ› ๏ธ Tools: ROS, Gazebo, MoveIt, Python/ C++


๐Ÿ“š Concepts: Kinematics, Simulation


Difficulty Level: โญโญ



3๏ธโƒฃ Object Sorting ๐Ÿ—‚๏ธ


ย Project Statement: Program a robotic system to sort different objects in a bin based on size or color.ย 


๐Ÿ› ๏ธ Tools: ROS, OpenCV, MoveItย 


๐Ÿ“š Concepts: Sorting Algorithms, Object Detection


Difficulty Level: โญโญ



4๏ธโƒฃ Gripper Control ๐Ÿค


Project Goal: Develop control algorithms for precision grasping of small objects securely.


๐Ÿ› ๏ธ Tools: ROS, Robotics Frameworks


๐Ÿ“š Concepts: Control Theory, Manipulation


Difficulty Level: โญโญ



5๏ธโƒฃ 3D CAD Matching-Based Segmentation ๐Ÿงฉ


Project Statement: Implement object segmentation by matching 3D CAD models to the point cloud data of objects in the bin.


ย ๐Ÿ› ๏ธ Tools: PCL (Point Cloud Library), OpenCV, ROS


๐Ÿ“š Concepts: 3D Segmentation, CAD Matching


Difficulty Level: โญโญโญ



6๏ธโƒฃ Collision Avoidance ๐Ÿšง


Project Statement: Ensure the robotic arm avoids collisions while picking objects from a densely packed bin.ย 


๐Ÿ› ๏ธ Tools: ROS Navigation Stack, MoveIt, Gazebo


๐Ÿ“š Concepts: Collision Detection, Path Planning


Difficulty Level: โญโญโญ



7๏ธโƒฃ 3D Object Recognition ๐ŸŽฒ


ย Project Statement: Use image and depth sensor data to recognize and locate objects in a bin.ย 


๐Ÿ› ๏ธ Tools: PCL (Point Cloud Library), ROS


๐Ÿ“š Concepts: 3D Point Clouds, Object Recognition


Difficulty Level: โญโญโญ



8๏ธโƒฃ Deep Learning for Bin Picking ๐Ÿง 


Project Statement: Use deep learning algorithms to improve object detection and grasping accuracy.ย 


๐Ÿ› ๏ธ Tools: TensorFlow/PyTorch, ROS, OpenCV


๐Ÿ“š Concepts: Neural Networks, Machine Learningย 


Difficulty Level:** โญโญโญ



9๏ธโƒฃ Deformable Object Manipulation ๐Ÿ—œ๏ธ


Project Statement: Develop and implement advanced grasp planning strategies to pick up 3D deformable objects from a bin.ย 


๐Ÿ› ๏ธ Tools: ROS, GraspIt!, MoveIt


๐Ÿ“š Concepts: Grasp Planning, Robotic Gripper Control


Difficulty Level: โญโญโญโญ



๐Ÿ”Ÿ Full Bin Picking System Integration ๐Ÿ”ง


Project Statement: Integrate all components into a fully functional bin picking system including object detection, grasping, sorting, and collision avoidance.


ย ๐Ÿ› ๏ธ Tools: ROS, MoveIt, OpenCV, Python/C++, Task Planning, PDDL


๐Ÿ“š Concepts: System Integration, Robotics Software Engineeringย 


Difficulty Level: โญโญโญโญ



Image credits:ย https://lnkd.in/eTU8baQS


hashtag#BinPickingย hashtag#Roboticsย hashtag#BeginnerProjectsย hashtag#AIย 

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