Human(s) On The Loop Demand Aware Robot Scheduling: A Mixed Reality based User Study

Sandula, AK and Rajatsurya, M and Ghose, D and Biswas, P (2024) Human(s) On The Loop Demand Aware Robot Scheduling: A Mixed Reality based User Study. In: 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024, 26 August 2024 through 30 August 2024, Pasadena, pp. 204-209.

PDF IEEE_Int_Wor_Rob_Hum_Com_RO-MAN_2024.pdf - Published Version Restricted to Registered users only Download (4MB) | Request a copy

Abstract

Scheduling tasks for multiple heterogeneous robots is challenging, especially with human supervision in demand-aware environments. This research aims to understand human decision-making and its impact on scheduling through two studies, the first is a mixed reality based user study to explore how human perception of the scheduling environment influences task scheduling and facilitates personalized resource allocation. Our findings indicate that human task schedulers exhibit enhanced performance when assisted by autonomous agents, compared to scenarios with limited autonomy in robotic systems. To explore the impact of robot planning on human decision-making and scheduling, we conducted the second study which employed a mixed reality-based warehouse environment, where two users controlled different robots with shared objectives. Results showed that visual aids like collision cones improved collision-aware scheduling without compromising demand-aware capabilities. © 2024 IEEE.

Item Type:	Conference Poster
Publication:	IEEE International Workshop on Robot and Human Communication, RO-MAN
Publisher:	IEEE Computer Society
Additional Information:	The copyright for this article belongs to IEEE Computer Society
Keywords:	Chatbots; Decision making; Industrial robots; Microrobots; Nanorobots; Robot programming, Aware environments; Environment influence; Human decision-making; Human perception; Human supervision; Mixed reality; Multiple heterogeneous robots; Scheduling tasks; Tasks scheduling; User study, Resource allocation
Department/Centre:	Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems
Date Deposited:	12 Dec 2024 19:20
Last Modified:	12 Dec 2024 19:20
URI:	http://eprints.iisc.ac.in/id/eprint/87042

Actions (login required)

View Item