Enhancing Robotic Motion Planning with Depth Estimation

Based on Patent Research | CN-115091469-B (2024)

Planning efficient, collision-free motion for mechanical arms on construction sites presents a consistent challenge. Traditional planning methods often result in slow operations and potential collisions, affecting safety and project timelines. Depth estimation, a computer vision technique, addresses this by accurately perceiving the 3D environment. This understanding enables systems to plan precise, obstacle-avoiding movements. Consequently, mechanical arms can operate more reliably and effectively, enhancing overall project efficiency and safety.

SOLUTION OVERVIEW

Upgrading Manual Planning to Smart Motion

In building construction, Depth Estimation technology directly addresses challenges like slow operational speeds and collision risks for mechanical arms. This technique operates by continuously sensing the environment to gather crucial spatial data. It then constructs a comprehensive 3D map of the worksite, identifying all obstacles. This detailed environmental understanding allows systems to plan precise, collision-free movements, ensuring equipment navigates complex sites safely and efficiently.

Practically, this technology enables automated path planning and seamless integration with existing heavy equipment control systems. It provides continuous monitoring of dynamic environments, reducing the need for manual oversight. Consider it like a virtual co-pilot for a crane, offering constant awareness of its surroundings to guide its movements. This capability leads to significant operational improvements, optimized resource utilization, and enhanced safety across construction projects.

HOW IT WORKS

Spatial Data Interpretation = Collision Avoidance

Capturing Site Data

The system continuously gathers real-time visual information from cameras mounted on mechanical arms. This process captures a constant stream of images and video, forming the initial input for understanding the construction environment. It provides dynamic visual data for subsequent analysis.

Estimating 3D Depth

Using the captured visual data, the system applies advanced computer vision techniques, specifically depth estimation. This transforms 2D images into a comprehensive 3D representation of the worksite, creating a detailed spatial map. It precisely measures distances to all objects and surfaces within the environment.

Identifying Site Obstacles

With the 3D depth map, the system analyzes the environment to pinpoint and categorize potential obstacles. It accurately distinguishes between clear pathways and areas containing equipment, materials, or personnel. This stage ensures a clear understanding of all environmental constraints.

Planning Safe Movements

Leveraging the identified obstacles and the 3D map, the system calculates optimal, collision-free paths for mechanical arm operations. It generates precise movement trajectories, considering all detected elements to ensure safe and efficient navigation. This enables automated and reliable equipment operation.

Potential Benefits

Enhanced Site Safety

Depth Estimation creates a detailed 3D map of the worksite, allowing mechanical arms to plan collision-free movements. This significantly reduces accident risks, protecting personnel and equipment on construction sites.

Increased Operational Efficiency

By enabling precise, obstacle-avoiding movements, this technology eliminates delays caused by manual planning and potential collisions. Construction projects can proceed faster and more reliably, improving overall timelines.

Optimized Resource Utilization

Automated path planning minimizes wasted movements and idle time for heavy equipment, leading to more efficient use of machinery and fuel. This translates into significant cost savings for building construction projects.

Automated Precision Planning

The system continuously senses the environment to build a comprehensive 3D map, enabling automated and highly accurate path planning. This ensures equipment navigates complex sites with unparalleled precision and without manual intervention.

Implementation

1 Install Sensors. Mount depth cameras and sensors on mechanical arms. Ensure robust wiring and network connectivity for data transmission.

2 Integrate Control Systems. Connect the depth estimation unit with existing mechanical arm control systems. Establish data flow for real-time environmental perception.

3 Calibrate Environment. Perform initial calibration of depth sensors and software. Map the construction site to establish a baseline 3D environment.

4 Configure Path Planning. Define operational parameters and safety zones for automated movement. Set collision avoidance rules based on identified obstacles.

5 Monitor Operations. Continuously monitor system performance and arm movements. Review 3D maps and planned trajectories for safety assurance.

Source: Analysis based on Patent CN-115091469-B "Depth reinforcement learning mechanical arm motion planning method based on maximum entropy frame" (Filed: June 2024).