@article{scholars19107, volume = {754 LN}, publisher = {Springer Science and Business Media Deutschland GmbH}, title = {Revolutionizing Transportation: Advancements in Robot-Assisted Mobility Systems}, pages = {603--619}, doi = {10.1007/978-981-99-4932-8{$_5$}{$_5$}}, journal = {Lecture Notes in Networks and Systems}, year = {2023}, note = {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}, isbn = {9789819949311}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174435197&doi=10.1007\%2f978-981-99-4932-8\%5f55&partnerID=40&md5=2260c283bee3e93723a372954b422a63}, abstract = {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 human{\^a}??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. {\^A}{\copyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.}, keywords = {Ethical technology; Intelligent robots; Learning systems; Machine learning, 'current; Autonomous Vehicles; Digitalization; Last mile; Last-mile delivery; Machine-learning; Mobility systems; Robot-assisted mobility; Sensor fusion; Society 2.0, Autonomous vehicles}, author = {Usmani, U. A. and Happonen, A. and Watada, J.}, issn = {23673370} }