Affordable Collision Detection for a 3D-Printed Robotic Arm.

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Bibliographic Details
Title:	Affordable Collision Detection for a 3D-Printed Robotic Arm.
Authors:	OSMANOVIĆ, Almir¹ almir.osmanovic@untz.ba, ČABARAVDIĆ, Malik² malik.cabaravdic@unze.ba, SARAJLIĆ, Amer² amer.sarajlic.20@dl.unze.ba, HALILOVIĆ, Jasmin³ jasmin.halilovic@untz.ba, VARDA, Kenan² kenan.varda@unze.ba
Source:	Technical Gazette / Tehnički Vjesnik. 2025, Vol. 32 Issue 6, p2066-2072. 7p.
Subjects:	Collision detection (Computer animation), Robotics, Space perception, Kinect (Motion sensor), Robot control systems, Robotic path planning
Abstract:	Collision detection and avoidance are crucial for safe and efficient robotic manipulation. This paper presents an affordable collision detection system for a 3Dprinted robotic arm using a Kinect camera integrated with the Robot Operating System (ROS). The proposed approach enables real-time environment perception and collision-free trajectory generation. Experimental results show a significant improvement in collision avoidance efficiency, achieving a 40% reduction in path length while maintaining real-time performance. The computational overhead introduced by collision detection is minimal, with a 12 ms delay per frame, which can be optimized further. It is demonstrating the system’s ability to effectively handle dynamic environments, such as human obstacles. This work highlights the potential of low-cost 3D sensing solutions for robotics applications, making them more accessible and scalable. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Collision detection and avoidance are crucial for safe and efficient robotic manipulation. This paper presents an affordable collision detection system for a 3Dprinted robotic arm using a Kinect camera integrated with the Robot Operating System (ROS). The proposed approach enables real-time environment perception and collision-free trajectory generation. Experimental results show a significant improvement in collision avoidance efficiency, achieving a 40% reduction in path length while maintaining real-time performance. The computational overhead introduced by collision detection is minimal, with a 12 ms delay per frame, which can be optimized further. It is demonstrating the system’s ability to effectively handle dynamic environments, such as human obstacles. This work highlights the potential of low-cost 3D sensing solutions for robotics applications, making them more accessible and scalable. [ABSTRACT FROM AUTHOR]
ISSN:	13303651
DOI:	10.17559/TV-20250320002497