Autonomous Systems for Forensic Applications: Sensing, Interaction, and Sustainability

DOI

10.2991/978-94-6239-610-4_45How to use a DOI?

Keywords

Robotics in forensics; Crime scene investigation; Autonomous robotic systems; Artificial intelligence; Human–robot interaction

Abstract

Forensic science has emerged as a crucial area of application for robotics, which has transformed from an intensive academic field into a transformational instrument across multiple sectors. Advances in artificial intelligence, computer modeling, sensing, and article, which looks at the state of robotics in forensic science today. When functioning in the sensitive, complex environment of crime scenes, robots must prioritize accuracy, noncontamination, safety, and contextual integrity maintenance. The technological foundations of autonomy in relation to scene investigation, developments in humanrobot interaction for effective collaboration with investigators, and new efforts to develop robotic systems that are both sustainable and forensically sound are all discussed in this article, which looks at the state of robotics in forensic science today.

We examine key applications, such as digital forensics, aerial mapping, hazardous material handling, and evidence collecting, and we evaluate the ethical, legal, and technical concerns that must be resolved for results to be accepted in court. It is emphasized that the future generation of intelligent, dependable forensic robots must combine sophisticated perception, strong control, human-centered design, and forensic-grade processes.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Padigela Srinivas Reddy
AU  - Suresh Sripada
AU  - A. Mallikarjun
AU  - Prashanth Kumar Vaidya
PY  - 2026
DA  - 2026/05/05
TI  - Autonomous Systems for Forensic Applications: Sensing, Interaction, and Sustainability
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 523
EP  - 530
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_45
DO  - 10.2991/978-94-6239-610-4_45
ID  - Reddy2026
ER  -