Work

Perception and Computation for Speed and Separation Monitoring Architectures

Year: 2025

Type: article

Abstract: Human Robot Collaboration (HRC) has been a significant research topic within the Industry 4.0 movement over the past decade. Within the study of HRC, the collaboration approach of Speed and Separation Monitoring (SSM) has been implemented through various architectures. The different configuration strategies involved different perception sensing modalities, mounting strategies, data filtration, computational platforms, and calibration methods. This paper explores the evolution of the perception architectures used to perform SSM, and highlights innovations in sensing, and processing technologies that can open up the door to significant advancements in this sector of HRC research.

Source: Robotics

DOI: 10.3390/robotics14040041

Authors: Odysseus Adamides, Karthik Subramanian, Sarthak Arora, Ferat Sahin

Institution: Rochester Institute of Technology

Language: English

Topic: Robot Manipulation and Learning

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,172