A Comprehensive Review of XR-based Remote Human-Robot Interaction Systems

Core Concepts

Extended reality technologies enhance remote human-robot interaction systems, offering immersive and intuitive control interfaces.

Abstract

This systematic review delves into XR technologies like AR, VR, and MR applied in remote human-robot interaction. The study categorizes and summarizes the domain, highlighting user experience enhancement and various interaction designs. It identifies gaps for future research to improve XR-based remote HRI systems.

Stats

From the initial 2,561 articles selected, 100 research papers were included. VR HMD is the most utilized XR technology (67%). Most studies opt for controllers or gestures as interaction methods (27%). Robotic arms are the most researched robot type (41%). Object grasping/picking/placement tasks are prevalent (26%).

Quotes

"XR empowers remote HRI to be more immersive, intuitive, and effective." "AR overlays digital information onto the real world, VR immerses users in a completely digital environment." "Despite videoconferencing limitations in complex tasks, XR offers a promising solution."

Key Insights Distilled From

A Systematic Review of XR-based Remote Human-Robot Interaction Systems

by Xian Wang,Lu... at arxiv.org 03-19-2024

https://arxiv.org/pdf/2403.11384.pdf

Deeper Inquiries

How do different robot types influence user interface design in remote HRI?

Different robot types have a significant impact on user interface design in remote Human-Robot Interaction (HRI). The characteristics and capabilities of each type of robot dictate the design choices for the user interface to ensure effective communication and control between the human operator and the robot. Robotic Arms: Robotic arms are commonly used in industrial settings for tasks like grasping, picking, and placement. The user interface design for controlling robotic arms often involves precise gesture controls or joystick interactions to manipulate the arm's movements accurately. Mobile Robots: Mobile robots require interfaces that allow users to navigate through environments remotely. This may involve a combination of visual feedback from cameras mounted on the robot and motion capture interactions for steering the robot effectively. Drones/UAVs: Drones typically rely on real-time video feeds for navigation and task execution. User interfaces for drones often include augmented reality overlays to provide additional information about flight paths or target locations. Humanoid Robots: Humanoid robots, with their anthropomorphic features, may require interfaces that focus on social interaction cues such as facial expressions or gestures to enhance communication between humans and robots. Multi-armed Robots: Multi-armed robots present unique challenges in user interface design due to coordinating multiple arms simultaneously. Interfaces need to provide intuitive controls for managing each arm independently or collaboratively. In summary, different robot types necessitate tailored user interfaces that consider factors like mobility, task complexity, physical capabilities, and interaction modalities specific to each type of robot.

How can multi-player/multi-robot support enhance collaboration in XR-based systems?

Supporting multi-player/multi-robot interaction can significantly enhance collaboration in Extended Reality (XR)-based systems by enabling more complex tasks, improved coordination among team members/operators, and enhanced situational awareness. Task Distribution: Multi-player support allows teams of operators/users to divide tasks efficiently based on individual strengths or expertise. Collaborative Problem-Solving: Multiple users collaborating with multiple robots can engage in collaborative problem-solving activities where each participant contributes unique perspectives towards achieving common goals. Increased Efficiency: With multi-robot support, simultaneous execution of tasks becomes possible leading to increased efficiency in completing complex operations within shorter time frames. 4 . Enhanced Communication: * In scenarios where one operator is controlling multiple robots , clear communication channels must be established ensuring seamless coordination among all parties involved . 5 . Improved Decision-Making : * Collaborating with other players enables sharing insights , strategies ,and decision-making processes which ultimately leads better outcomes . By facilitating multi-player/multi-robot support , XR-based systems promote teamwork , efficiency,and effectiveness across various domains including industrial automation,surgical procedures,and disaster response scenarios .