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TeleHairing: A Teleoperation Baseline for Robotic Haircutting
Zhendai Huang, Aleksi Vilkki, Jianan Huang, Bolin Liao, Chunbo Luo, Leopoldo Angrisani, Shuai Li
TL;DR
Robotic haircutting requires near-head tool control while accounting for communication, visual feedback, actuation, and interruptions, yet operator-in-the-loop references for studying these coupled behaviors remain limited. TeleHairing evaluates a mannequin-based teleoperation system across local, relay, and remote deployment; its results characterize where timing changes arise, how remote trajectory error is concentrated, and how rebase events resume motion.
Problem
Existing work rarely reports deployable teleoperation systems for robotic haircutting that combine near-head tool use with communication, execution, and interruption analysis.
Source: §1 · pp. 1–2Method
TeleHairing is a mannequin-based teleoperation system that evaluates coordinated sensing, message transport, robot execution, clipper actuation, video feedback, and safeguards across deployment conditions.
Source: §1 · p. 2, §6 · p. 11Results
The evaluation found that deployment timing changes occur mainly before the robot-side control endpoint, remote trajectory error concentrates in terminal withdrawal, and rebase events resume motion without a large command jump under the tested condition.
Source: §6 · p. 11, §5 · p. 11Takeaways & Limitations
TeleHairing provides a quantitative reference for future research on robotic haircutting teleoperation, including autonomy, safety, and user-facing studies.
Source: §1 · p. 2, §6 · p. 11AprilTag pose-estimation accuracy was not independently characterized and remains part of the sensing condition for command-following analysis.
Source: §3.3 · p. 6
Abstract
from arXiv · showhide
Robotic haircutting requires controlled tool motion near the head while simultaneously accounting for communication, visual feedback, tool actuation, and interruption handling. Existing studies still lack an operator-in-the-loop reference for analyzing these coupled behaviors before human trials or stronger autonomy. This paper presents TeleHairing, a closed-loop teleoperation architecture for mannequin-based robotic haircutting evaluation under local, relay, and remote deployment conditions. Logged timing shows that the main remote latency increase occurs before the robot-side control endpoint: overall timing reached 190.5~ms in remote mode, while robot-side command queue, control processing, and control-to-robot timing remained similar across modes. Trajectory analysis shows that the larger remote command-following error was dominated by the terminal withdrawal segment rather than accumulated uniformly over the path; excluding this segment reduced remote root-mean-square error (RMSE) from 45.1 mm to 9.6 mm. Detection-loss trials further show that rebase events resumed motion without a large target jump under the tested condition. These results clarify how deployment, execution, and interruption affect the robotic haircutting teleoperation loop, providing a quantitative reference for future autonomy, safety, and user-facing studies.
1 Introduction
Robotic haircutting combines near-head, contact-rich tool use with variable hair and user needs, visual and communication constraints, and safety concerns. TeleHairing introduces an operator-in-the-loop mannequin-based system to characterize these coupled behaviors across deployment conditions.
1 Introduction
- Robotic haircutting is contact-rich and comfort-sensitive, requiring coordinated tool motion near the head amid hair geometry, visual occlusion, actuation, and user-comfort constraints.Related head-proximate grooming work suggests near-head hair interaction is feasible, but does not resolve these haircutting-specific constraints.Source: §1 · pp. 1–2
- Before autonomous haircutting can be evaluated responsibly, studies need to characterize how sensing, communication, execution, tool actuation, and interruption handling interact.The task also varies with head geometry, hair density, texture, length, and user preference, while safety margins near sensitive regions are limited.Source: §1 · p. 2
- Deployable robotic haircutting teleoperation remains rarely reported, particularly systems combining monocular input, clipper actuation, remote deployment, and system-level analysis.Prior work covers communication-aware teleoperation and near-head grooming, but not this full system picture.Source: §1 · p. 2
- TeleHairing provides a mannequin-based teleoperation evaluation framework for local, relay, and remote deployment conditions, without claiming autonomous haircutting or haircut-quality assessment.It separates sensing, transport, robot execution, clipper actuation, feedback, and safeguards for quantitative analysis.Source: §1 · p. 2
2 Background and Related Work
Prior work contributes teleoperation, near-head hair interaction, deployable interfaces, and safety mechanisms, but these strands do not characterize their combined behavior in a robotic haircutting teleoperation loop. TeleHairing addresses this integration gap with a tool-actuated, locally and remotely deployable platform evaluated through timing, trajectory, and runtime fault-handling behavior.
2 Background and Related Work
- Teleoperation research treats operator input, communication, remote execution, and sensory feedback as a closed loop, while prior networked studies address delay and quality-of-service variation.That literature generally evaluates general manipulation, navigation, or dexterous tasks rather than actuated haircutting tools near the head.Source: §2 · pp. 2–3
- Hair-interaction studies demonstrate feasible near-head grooming, but focus on autonomous or semiautonomous grooming, offline planning, or task-specific policies rather than deployable haircutting teleoperation [17].They do not characterize the combined behavior of human operation, communication, robot execution, and cutting-tool actuation.Source: §2 · p. 3
- Assistive teleoperation and AprilTags offer deployable interface approaches, but prior validation on navigation or generic manipulation does not establish their performance in clipper-based haircutting near the head.The relevant deployment question includes cloud-mediated control, robot execution, and video feedback in the same task loop.Source: §2 · p. 3
- Prior protective mechanisms address human-supervised motion near the body, but do not integrate tracking interruption, communication, tool actuation, and robot recovery for haircutting.Haircutting-specific risks include tool motion near the scalp and degraded sensing or control conditions.Source: §2 · pp. 3–4
- Existing systems do not integrate near-head tool motion, clipper actuation, deployment-dependent communication, and interruption handling within one evaluated robotic haircutting teleoperation loop.TeleHairing addresses this integration gap with logged timing, trajectory, and runtime fault-handling behavior.Source: §2 · p. 4
3 TeleHairing System Architecture
TeleHairing organizes near-head haircutting teleoperation as a closed loop linking operator pose input, message transport, robot and clipper execution, and independent video feedback. Its architecture separates these elements so deployment, control, actuation, and safeguards can be examined within one logged system.
3.1 System Overview
- The operator adjusts end-effector motion around the head from visual feedback while coordinating arm motion with tool actuation.The communication link is treated as part of the task loop, and the architecture separates sensing, transport, execution, actuation, and video feedback.Source: §3.1 · p. 4
3.2 Communication Transport
- Browser-side AprilTag pose estimation sends pose-derived commands through direct or relay-mediated paths, while video feedback uses an independent path.The evaluated modes were local, relay, and remote; timing values are software timestamp differences, with cross-host estimates subject to clock-offset and network uncertainty.Source: §3.2 · pp. 4–5
3.3 Pose-Based Teleoperation Control
- The control pipeline maps camera pose into the robot-side convention, computes changes relative to the initialized state, and applies them to the initialized TCP pose.Monocular AprilTag accuracy was not independently characterized; tag size, image resolution, viewing angle, lighting, motion blur, and calibration can affect it.Source: §3.3 · pp. 5–6
3.4 Clipper Actuation Design
- A dedicated adapter mounts the commercial clipper, whose modified circuit enables binary on/off commands through a robot-side relay.Clipper state is logged as part of teleoperation but remains logically separate from Cartesian manipulator execution.Source: §3.4 · p. 6, Figure 2 · p. 6
3.5 Operational Safeguards
- Server-side safeguards limit per-update motion, rebase the reference after tracking loss, and require manual recovery after a protective stop.When detections are missed, the event interval increases; after reacquisition, the maintained robot target becomes the new anchor to avoid a discontinuous target jump.Source: §3.5 · pp. 6–7
3 TeleHairing System Architecture
- The architecture links operator-side pose sensing, direct or relay-mediated transport, robot-side execution, tool actuation, and independent video feedback in one logged loop.The loop supports analysis of communication, trajectory behavior, and runtime fault handling.Source: §3 · p. 4, §3.5 · p. 7
4 Experimental Evaluation
The evaluation tests TeleHairing as a system-level teleoperation loop on a repeatable mannequin-based proxy task, not as a measure of haircut quality. Across deployment modes, timing differences occur mainly before the robot-side control endpoint, while remote trajectory error is concentrated in terminal withdrawal; detection-loss recovery resumed without a large command jump under the tested condition.
4.1 Experimental Setup
- Trials shared a 30 Hz robot-side command update rate and fixed platform, tool, velocity limits, monocular AprilTag input, and execution logic; deployment mode was the main experimental variable.Local and relay trials used the same operator; remote trials used a different operator, a confound in trajectory comparisons.Source: §4.1 · p. 8
4 Experimental Evaluation
- The evaluation uses a fixed mannequin-head proxy trajectory to study communication timing, command following, and runtime fault handling rather than hairstyle outcome or cutting quality.The dataset includes 10 normal trials each in local, relay, and remote modes, five detection-loss trials, and one protective-stop recovery example.Source: §4 · p. 7, §4.1 · p. 8
4.2 Communication Performance
- 190.5 ms in remote mode, compared with 95.7 ms in relay and 75.6 ms in local mode; the main timing differences arise before commands reach the robot side.Robot-side command queue, control processing, and control-to-robot timing remain similar across modes.Source: §4.2 · pp. 8–9, Table 2 · p. 8
4.3 Trajectory-Following Behavior
- 45.1 mm remote full-trajectory RMSE falls to 9.6 mm when the terminal withdrawal segment is excluded, showing that error is concentrated near the end of the path.The first-90% diagnostic also reduces mean peak error from 223.6 mm to 34.9 mm; the full-trajectory result remains primary.Source: §4.3 · pp. 9–10, Table 3 · p. 9, §4.2 · p. 9
- The remote trajectory pattern cannot be attributed to latency alone: the remote operator rapidly withdrew input, and velocity-limited execution left the TCP short of the commanded state at capture stop.The remote trials used a different operator, while monocular AprilTag sensing was held fixed across modes.Source: §4.3 · p. 10
4.4 Runtime Fault-Handling Behavior
- Across five detection-loss trials, 23 re-acquisition and rebase events resumed motion with limited hold drift and a small first resumed command step.This characterizes the tested detection-loss condition, not safety-boundary validation or guaranteed near-head safety.Source: §4.4 · p. 10, Table 4 · p. 10
- A protective-stop trial required manual pendant recovery and re-initialization before teleoperation resumed.This was a single operational observation.Source: §4.4 · p. 10
5 Discussion
Deployment shifts appear mainly before robot-side control, while remote trajectory error centers on terminal withdrawal and detection-loss rebasing resumes motion without a large command jump under the tested condition.
5 Discussion
- Remote deployment primarily increases timing before the robot-side control endpoint, while command queueing, control processing, and control-to-robot timing remain similar across modes.The largest further remote-mode increase is in Master→cloud, reaching 116.9 ms.Source: §5 · p. 11
- Remote trajectory error concentrates near terminal withdrawal, where rapid operator input meets velocity-limited execution that cannot immediately follow.The interaction means increased communication delay alone does not explain remote teleoperation behavior.Source: §5 · p. 11
- Under the tested detection-loss condition, rebase events resumed motion with limited hold drift and a small first resumed command step.The results motivate treating interruption handling and re-entry as explicit parts of the control loop.Source: §5 · p. 11
6 Conclusion
TeleHairing provides an experimentally characterized teleoperation baseline for mannequin-based robotic haircutting. Its evaluation characterizes deployment timing, terminal-withdrawal trajectory error, and detection-loss re-entry within a scope that excludes haircut quality and formal safety validation.
6 Conclusion
- The mannequin evaluation identifies timing changes mainly before robot-side control, remote trajectory error concentrated in terminal withdrawal, and rebase resumption without a large command jump under the tested condition.These behaviors jointly characterize how communication, operator input, velocity-limited execution, and interruption handling shape the teleoperation loop.Source: §6 · p. 11
- TeleHairing combines monocular AprilTag pose input, local or cloud-relay communication, Cartesian robot execution, independent clipper switching, video feedback, and operational safeguards.The paper frames haircutting as a system-level teleoperation problem rather than only a motion-generation problem.Source: §6 · p. 11
- The evaluation is limited to mannequin-based system-level teleoperation and does not assess haircut quality, human-subject operation, or formal safety validation.Within that scope, TeleHairing is presented as an experimentally characterized foundation for future robotic haircutting systems.Source: §6 · p. 11