TY  - JOUR
Y1  - 2023///
VL  - 754 LN
A1  - Usmani, U.A.
A1  - Happonen, A.
A1  - Watada, J.
JF  - Lecture Notes in Networks and Systems
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174435197&doi=10.1007%2f978-981-99-4932-8_55&partnerID=40&md5=2260c283bee3e93723a372954b422a63
ID  - scholars19107
KW  - Ethical technology; Intelligent robots; Learning systems; Machine learning
KW  -  'current; Autonomous Vehicles; Digitalization; Last mile; Last-mile delivery; Machine-learning; Mobility systems; Robot-assisted mobility; Sensor fusion; Society 2.0
KW  -  Autonomous vehicles
N2  - We explored advancements in robot-assisted mobility systems and the impact of transportation revolutions. Current developments highlight technological breakthroughs in robotics and related transportation domains, including autonomous vehicles, last-mile delivery, and public transportation. We addressed ethical considerations, regulatory frameworks, and societal acceptance challenges while examining future developments like humanâ??robot collaboration and the role of artificial intelligence in traffic flow optimization. By providing valuable insights into the transformative potential of robot-assisted mobility systems, the study serves as a resource for researchers, policymakers, and industry professionals involved in shaping the future of transportation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.
PB  - Springer Science and Business Media Deutschland GmbH
SN  - 23673370
EP  - 619
AV  - none
SP  - 603
TI  - Revolutionizing Transportation: Advancements in Robot-Assisted Mobility Systems
N1  - cited By 3; Conference of 8th International Conference on ICT for Sustainable Development, ICT4SD 2023 ; Conference Date: 3 August 2023 Through 4 August 2023; Conference Code:301599
ER  -