Using 3-D LiDAR Data for Safe Physical Human-Robot Interaction
<|reference_start|>Using 3-D LiDAR Data for Safe Physical Human-Robot Interaction: This paper explores the use of 3D lidar in a physical Human-Robot Interaction (pHRI) scenario. To achieve the aforementioned, experiments were conducted to mimic a modern shop-floor environment. Data was collected from a pool of seventeen participants while performing pre-determined tasks in a shared workspace with the robot. To demonstrate an end-to-end case; a perception pipeline was developed that leverages reflectivity, signal, near-infrared, and point-cloud data from a 3-D lidar. This data is then used to perform safety based control whilst satisfying the speed and separation monitoring (SSM) criteria. In order to support the perception pipeline, a state-of-the-art object detection network was leveraged and fine-tuned by transfer learning. An analysis is provided along with results of the perception and the safety based controller. Additionally, this system is compared with the previous work.<|reference_end|>
@article{arora2024using,
    title={Using 3-D LiDAR Data for Safe Physical Human-Robot Interaction},
    author={Sarthak Arora, Karthik Subramanian, Odysseus Adamides, Ferat Sahin},
    journal={arXiv preprint arXiv:2406.00869},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.00869},
    primaryClass={cs.RO}
}