Human-Machine Interfaces for Subsea Telerobotics: From Soda-straw to Natural Language Interactions

2024-12-02

arXiv.org

AI Summary

To address key challenges in human–machine interfaces (HMIs) for underwater remotely operated vehicles—including low immersion, unintuitive control, lack of cross-platform standards, and insufficient shared autonomy—this study systematically reviews over 100 state-of-the-art approaches, identifying turbid-water perception degradation and communication latency as fundamental bottlenecks. We propose a novel multidimensional HMI evaluation framework integrating human-centered metrics (e.g., intuitiveness, situational awareness) with robotic performance criteria (safety, accuracy, efficiency). Furthermore, we introduce a bidirectional intelligent collaboration paradigm supported by multimodal feedback, incorporating real-time gesture recognition, VR/AR-based rendering, large language model–driven natural language interaction, ultra-low-latency communication, and multi-source underwater state estimation. Finally, we distill six open research questions and outline an interdisciplinary roadmap, providing theoretical foundations and design guidelines for next-generation intelligent deep-sea intervention systems.

Technology Category

• Intelligent Robots: Human-Robot Interaction
• Humans and AI: Intelligent User Interfaces
• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• User Modeling, Personalization and Recommendation: Fairness-aware retrieval and ranking

Abstract

This review explores the evolution of human-machine interfaces (HMIs) for subsea telerobotics, tracing back the transition from traditional first-person"soda-straw"consoles (narrow field-of-view camera feed) to advanced interfaces powered by gesture recognition, virtual reality, and natural language models. First, we discuss various forms of subsea telerobotics applications, current state-of-the-art (SOTA) interface systems, and the challenges they face in robust underwater sensing, real-time estimation, and low-latency communication. Through this analysis, we highlight how advanced HMIs facilitate intuitive interactions between human operators and robots to overcome these challenges. A detailed review then categorizes and evaluates the cutting-edge HMI systems based on their offered features from both human perspectives (e.g., enhancing operator control and situational awareness) and machine perspectives (e.g., improving safety, mission accuracy, and task efficiency). Moreover, we examine the literature on bidirectional interaction and intelligent collaboration in terms of sensory feedback and intuitive control mechanisms for both physical and virtual interfaces. The paper concludes by identifying critical challenges, open research questions, and future directions, emphasizing the need for multidisciplinary collaboration in subsea telerobotics.

Problem

• Evolution of subsea HMIs from limited to advanced interfaces
• Challenges in immersive feedback and intuitive control mechanisms
• Need for standardization in human-robot communication systems

Innovation

• Gesture recognition and virtual reality interfaces
• Natural language processing for communication
• Shared autonomy frameworks for collaboration