Improving dependability in robotized bolting operations
Lorenzo Pagliara, Violeta Redondo, Enrico Ferrentino, Manuel Ferre, Pasquale Chiacchio

TL;DR
This paper presents a control framework for dependable robotic bolting that enhances safety, fault management, and operator awareness through advanced control architecture, multimodal interfaces, and supervisory coordination, validated in pipe flange assembly.
Contribution
It introduces a novel control and human-robot interaction framework for reliable robotized bolting, improving fault detection and operator situational awareness in industrial tasks.
Findings
Improved fault detection capabilities in robotic bolting operations.
Enhanced operator situational awareness through multimodal HRI.
Accurate and compliant execution of bolting tasks under fault conditions.
Abstract
Bolting operations are critical in industrial assembly and in the maintenance of scientific facilities, requiring high precision and robustness to faults. Although robotic solutions have the potential to improve operational safety and effectiveness, current systems still lack reliable autonomy and fault management capabilities. To address this gap, we propose a control framework for dependable robotized bolting tasks and instantiate it on a specific robotic system. The system features a control architecture ensuring accurate driving torque control and active compliance throughout the entire operation, enabling safe interaction even under fault conditions. By designing a multimodal human-robot interface (HRI) providing real-time visualization of relevant system information and supporting seamless transitions between automatic and manual control, we improve operator situation awareness…
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
TopicsRobot Manipulation and Learning · Soft Robotics and Applications · Teleoperation and Haptic Systems
