🚀 10 Robot Bin Picking Projects for beginners 🤖
(Open Source Robots for learning Robotics: 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? 🤔
Look no further! Here's a curated list of 10 beginner-friendly projects to ignite your Bin Picking journey. 🚀
1️⃣ Object Heap Recognition 📦
Project Statement: Identify objects in a random heap within a bin using computer vision.
🛠️ Tools: OpenCV, Python
📚 Concepts: Image Processing, Object Detection
Difficulty Level: ⭐
2️⃣ Pick-and-Place Simulation 🤖
Project Statement: Program a robotic arm to pick up an object from a bin and place it at a designated location.
🛠️ Tools: ROS, Gazebo, MoveIt, Python/ C++
📚 Concepts: Kinematics, Simulation
Difficulty Level: ⭐⭐
3️⃣ Object Sorting 🗂️
Project Statement: Program a robotic system to sort different objects in a bin based on size or color.
🛠️ Tools: ROS, OpenCV, MoveIt
📚 Concepts: Sorting Algorithms, Object Detection
Difficulty Level: ⭐⭐
4️⃣ Gripper Control 🤏
Project Goal: Develop control algorithms for precision grasping of small objects securely.
🛠️ Tools: ROS, Robotics Frameworks
📚 Concepts: Control Theory, Manipulation
Difficulty Level: ⭐⭐
5️⃣ 3D CAD Matching-Based Segmentation 🧩
Project Statement: Implement object segmentation by matching 3D CAD models to the point cloud data of objects in the bin.
🛠️ Tools: PCL (Point Cloud Library), OpenCV, ROS
📚 Concepts: 3D Segmentation, CAD Matching
Difficulty Level: ⭐⭐⭐
6️⃣ Collision Avoidance 🚧
Project Statement: Ensure the robotic arm avoids collisions while picking objects from a densely packed bin.
🛠️ Tools: ROS Navigation Stack, MoveIt, Gazebo
📚 Concepts: Collision Detection, Path Planning
Difficulty Level: ⭐⭐⭐
7️⃣ 3D Object Recognition 🎲
Project Statement: Use image and depth sensor data to recognize and locate objects in a bin.
🛠️ Tools: PCL (Point Cloud Library), ROS
📚 Concepts: 3D Point Clouds, Object Recognition
Difficulty Level: ⭐⭐⭐
8️⃣ Deep Learning for Bin Picking 🧠
Project Statement: Use deep learning algorithms to improve object detection and grasping accuracy.
🛠️ Tools: TensorFlow/PyTorch, ROS, OpenCV
📚 Concepts: Neural Networks, Machine Learning
Difficulty Level:** ⭐⭐⭐
9️⃣ Deformable Object Manipulation 🗜️
Project Statement: Develop and implement advanced grasp planning strategies to pick up 3D deformable objects from a bin.
🛠️ Tools: ROS, GraspIt!, MoveIt
📚 Concepts: Grasp Planning, Robotic Gripper Control
Difficulty Level: ⭐⭐⭐⭐
🔟 Full Bin Picking System Integration 🔧
Project Statement: Integrate all components into a fully functional bin picking system including object detection, grasping, sorting, and collision avoidance.
🛠️ Tools: ROS, MoveIt, OpenCV, Python/C++, Task Planning, PDDL
📚 Concepts: System Integration, Robotics Software Engineering
Difficulty Level: ⭐⭐⭐⭐
Image credits: https://lnkd.in/eTU8baQS
hashtag#BinPicking hashtag#Robotics hashtag#BeginnerProjects hashtag#AI