Robotic Grasp Point Selection for Collision-Free Object Pickup
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Solution Overview
Problem
Robotic systems face challenges in efficiently picking up and moving mixed-type objects in cluttered environments due to difficulties in identifying suitable grasp points and planning collision-free motion paths, especially when objects have irregular shapes or varying sizes.
Innovation Solution
A robotic device equipped with sensors for environmental and object reconstruction, using a suction gripper that can adapt to different surfaces, and a control system that determines potential grasp points and motion paths based on global considerations such as collision avoidance and motion planning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a robotic system uses predetermined knowledge of object locations to guide picking, then the system can operate efficiently with simple control, but it cannot handle mixed-type objects or irregular shapes in cluttered environments
Solution Approach 1:
The system performs preliminary environmental reconstruction and object characterization before the picking operation. Sensors capture data about object locations, shapes, and surfaces in advance, allowing the robotic system to plan grasp points and motion paths based on pre-acquired information rather than reacting in real-time during the picking process.
Solution Approach 2:
The system creates a digital representation or model of the physical environment and objects through sensor data. This virtual model includes object characteristics, locations, and potential grasp points, allowing the control system to simulate and evaluate different picking strategies without physical trial-and-error.
2Reliability
If the robotic device selects grasp points without considering motion paths, then the gripping operation is simplified, but collisions may occur during object movement
Solution Approach 1:
The system determines potential grasp points and evaluates motion paths before the actual gripping action. By pre-planning the complete sequence of operations including approach, grasp, and withdrawal paths, the system identifies and avoids collision zones in advance, ensuring reliable collision-free operation.
Solution Approach 2:
The control system acts as an intermediary between the robotic manipulator and the physical environment. It processes sensor data, calculates safe motion paths, and coordinates the timing and positioning of the gripper to avoid collisions with other objects in the cluttered environment during the picking operation.
3Adaptability or versatility
If the robotic system uses a fixed gripper design, then the manufacturing and operation are simpler, but it cannot adapt to different object surfaces and shapes
Solution Approach 1:
The gripper system is designed with dynamic capabilities to adjust its configuration based on the object being grasped. Rather than a fixed design, the gripper can modify its shape, contact points, and gripping force to adapt to different object surfaces, shapes, and sizes, enabling versatile handling of mixed-type objects.
Solution Approach 2:
The system changes operational parameters such as gripper position, orientation, and gripping force based on the characteristics of the target object. By adjusting these parameters according to sensor data about the object's surface properties and geometry, the gripper can effectively grasp diverse objects without requiring multiple specialized grippers.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and reliable picking and placement of objects of varying shapes and sizes in cluttered environments by identifying optimal grasp points and planning collision-free paths, enhancing the robotic device's ability to handle mixed-type objects and irregular surfaces.
Implementation Method 1
A robotic device may include a robotic arm that may be equipped with a gripper, such as a suction gripper, in order to move objects to specified locations.
Data Source
AI summary
Example embodiments may relate to methods and systems for selecting a grasp point on an object. In particular, a robotic manipulator may identify characteristics of a physical object within a physical environment. Based on the identified characteristics, the robotic manipulator may determine potential grasp points on the physical object corresponding to points at which a gripper attached to the robotic manipulator is operable to grip the physical object. Subsequently, the robotic manipulator may determine a motion path for the gripper to follow in order to move the physical object to a drop-off location for the physical object and then select a grasp point, from the potential grasp points, based on the determined motion path. After selecting the grasp point, the robotic manipulator may grip the physical object at the selected grasp point with the gripper and move the physical object through the determined motion path to the drop-off location.