Original title: A Novel Path Planning Method for a Hydraulic Crushing Robotic Arm Based on an Improved Informed RRT* Algorithm
Miao Chen, Guowei LI, Lei Si, Jinheng Gu · September 2026
Big robotic arms crush rocks in mine chutes, but planning their movement safely is difficult. Standard path-planning methods struggle to reach tight targets, waste computing power, and cause sudden hydraulic shocks. To fix this, researchers built an improved path-planning method. First, the system wraps obstacles in simplified boxes called axis-aligned bounding boxes. This speeds up safety checks and helps the arm tip reach its goal. Next, the method uses robot joint math and virtual attractive forces to build an elevated corridor over obstacles. This shortcut reduces search complexity and avoids useless checks. Finally, it smooths the motion using specialized curves and multi-step speed profiles. In tests, the algorithm achieved a 100% success rate and cut generated nodes by 90.1%. When tested on a real hydraulic arm, the arm reached its targets with an average error of 30 mm, smoothly preventing hydraulic shocks while safely crushing rock.
You are trying to carry a large couch through a doorway without hitting the frame. You have to check every angle, and one mistake means you scratch the paint. In this paper the hydraulic robotic arm must navigate a mine chute full of irregular obstacles, and the algorithm wraps each obstacle in a simple box shape so it can plan a collision-free path quickly and always succeed.
Mine chutes are dangerous, but autonomous crushing requires precise path planning. This method achieves 100% success and reduces computational load by 90.1%, while smoothing trajectories to avoid hydraulic shocks. That means safer, faster operation for heavy-duty robotic arms in mining.
The abstract doesn't state explicit limitations. It reports simulation and experimental results on a specific hydraulic crushing robotic arm, but does not discuss generalization to other arms or environments, or potential failures outside the test conditions.
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A Novel Path Planning Method for a Hydraulic Crushing Robotic Arm Based on an Improved Informed RRT* Algorithm — Miao Chen, Guowei LI, Lei Si et al. — Modelling—International Open Access Journal of Modelling in Engineering Science — doi:10.3390/modelling7050197
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper.