Human-Machine Interfaces for Subsea Telerobotics: From Soda-straw to Natural Language Interactions
Adnan Abdullah, David Blow, Ruo Chen, Thanakon Uthai, Eric Jing Du, and Md Jahidul Islam

TL;DR
This review traces the evolution of human-machine interfaces in subsea telerobotics from basic consoles to advanced natural language and shared autonomy systems, highlighting current limitations and future research directions.
Contribution
It provides a comprehensive synthesis of recent advances, challenges, and future directions in subsea HMI technologies across multiple disciplines.
Findings
Current systems lack immersive feedback fidelity.
Control mechanisms are not sufficiently intuitive.
There is a need for cross-platform standardization.
Abstract
This review explores the evolution of human-machine interfaces (HMIs) in subsea telerobotics, charting the progression from traditional first-person "soda-straw" consoles -- characterized by narrow field-of-view camera feeds -- to contemporary interfaces leveraging gesture recognition, virtual reality, and natural language processing. We systematically analyze the state-of-the-art literature through three interrelated perspectives: operator experience (including immersive feedback, cognitive workload, and ergonomic design), robotic autonomy (contextual understanding and task execution), and the quality of bidirectional communication between human and machine. Emphasis is placed on interface features to highlight persistent limitations in current systems, notably in immersive feedback fidelity, intuitive control mechanisms, and the lack of cross-platform standardization. Additionally, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHuman-Automation Interaction and Safety
