Understanding Socially Aware Robot Navigation

Abstract

Navigation is an essential skill for autonomous robots and it becomes a cumbersome task in human populated environments. Robots need to perform the tasks without disturbing the humans around them and ensure comfort and safety of humans as well. It is further influenced by various factors like social norms, geometry of environment and surrounding people. It is essential to comprehend three components i.e. Social Conventions (SC), Human Motion (HM) and Context Aware Mapping (CAM) for establishing effective socially aware robot navigation (SARN). This article discusses these different aspects of these components which should be taken into consideration while designing an efficient and optimal SARN. Further, it reports recent experiments conducted by different institutes pertaining to these components.

Author Biographies

Kiran Jot Singh, Embedded Systems & Robotics Research Group, Chandigarh University, Punjab, India

Kiran Jot Singh (kiranjot.693@gmail.com) is a research scholar in Chandigarh University, India and alumni of IIM Rohtak. He has keen interest in embedded systems and robotics. He has filed 12 patents in Indian patent office &
working on various funded projects.

Divneet Singh Kapoor, Embedded Systems & Robotics Research Group, Chandigarh University, Punjab, India

Divneet Singh Kapoor (divneet.singh.kapoor@gmail.com) is an assistant professor in the ECE
Department, Chandigarh University, India. His interests include signal processing, wireless
communication and also filed 14 patents in Indian patent office.

Balwinder Singh Sohi, Embedded Systems & Robotics Research Group, Chandigarh University, Punjab, India

Balwinder Singh Sohi (bssohi.pvc.cu@gmail.com) is the Ex-Director of UIET, Panjab University,
Chandigarh and presently he is working as Professor in the ECE department at Chandigarh University,
India.

Published
2021-10-27
Section
Computer Engineering