FANUC teach pendant UI redesign

Human factors and industrial HMI modernization case study

Project overview

This project reimagines the legacy FANUC teach pendant interface through a modern human factors and industrial UX lens while preserving the deterministic interaction patterns operators depend on in safety-critical robotic environments.

The goal was not to “consumerize” the interface, but to improve operational clarity, reduce cognitive load, and strengthen operator confidence in high-pressure industrial settings.

The redesign focuses on:

  • Visual hierarchy

  • State awareness

  • Alarm clarity

  • Gloved usability

  • Reduced operator fatigue

  • Faster interaction under stress

  • Improved system trust

The problem

Traditional industrial robot controllers are extremely powerful, but many legacy interfaces were designed around technical constraints rather than operator cognition.

Common usability issues included:

  • Dense visual layouts

  • Small typography

  • Poor hierarchy

  • High cognitive load

  • Mode ambiguity

  • Excessive visual noise

  • Difficult operation while wearing PPE

  • Alarm overload

  • Long visual scan paths

Operators often rely heavily on memory and procedural familiarity rather than immediate system comprehension.

This increases:

  • Training burden

  • Error probability

  • Operator fatigue

  • Recovery time during faults

Design goal

The redesign centered around several core human factors objectives:

  • Improve situational awareness by allowing operators to understand system state at a glance.

  • Reduce cognitive load by decreasing memory burden and mental translation required during operation.

  • Improve error prevention by reducing accidental activation and mode confusion.

Support real industrial environments

Design for:

  • Gloves

  • Noise

  • Standing posture

  • Bright factory lighting

  • Time pressure

  • Multi-tasking

Human factors analysis

Operator goals

Industrial robot operators need to:

  • Monitor machine state quickly

  • Execute teach and jog operations safely

  • Recover from faults rapidly

  • Navigate menus efficiently

  • Maintain confidence during robot motion

  • Operate reliably under production pressure

The redesign prioritizes:

  • Fast information parsing

  • Immediate mode visibility

  • Reduced interaction ambiguity

  • Efficient motion control access

Cognitive constraints

Original system challenges

The legacy interface required operators to continuously remember:

  • Current robot mode

  • Active axis mappings

  • Soft-key functions

  • Program location

  • Alarm context

  • Register states

This created:

  • High working-memory demand

  • Increased cognitive fatigue

  • Greater likelihood of mode errors

Design response

The redesign introduces:

  • Strong visual hierarchy

  • Persistent system-state visibility

  • Functional grouping of controls

  • Clear color-coded interaction zones

  • Reduced visual clutter

Information is chunked into recognizable operational regions:

  • Navigation

  • Motion

  • Programming

  • Numeric input

  • System state

This reduces mental translation and improves scan efficiency.

Environmental conditions

Teach pendants are used in environments with:

  • Loud machinery

  • Harsh overhead lighting

  • Vibrations

  • Dust and oil exposure

  • PPE/glove usage

  • Operator fatigue

  • Constant attentional competition

Design response

The redesign uses:

  • High-contrast dark UI surfaces

  • Larger interaction targets

  • Simplified visual hierarchy

  • Strong spacing between critical controls

  • Reduced screen noise

The interface was designed to remain legible and operable under real industrial conditions rather than ideal office environments.

Safety implications

Robot controllers are safety-critical systems.

Poor interface design can contribute to:

  • Incorrect robot motion

  • Dangerous mode transitions

  • Delayed fault response

  • Accidental activation

  • Misinterpreted system states

Safety-focused improvements

The redesign emphasizes:

  • Persistent mode awareness

  • Isolation of critical controls

  • Improved alarm visibility

  • Reduced accidental input risk

  • Faster identification of unsafe conditions

Motion controls are intentionally separated from navigation and editing functions to reduce operational confusion.

Error state management

Legacy industrial HMIs often communicate faults poorly, forcing operators to infer machine state indirectly.

Original risks

  • Hidden system states

  • Ambiguous alarms

  • Weak visual prioritization

  • Unclear acknowledgment flow

Redesign improvements

The redesign creates:

  • Explicit system-state visibility

  • Hierarchical alarm presentation

  • Persistent operational feedback

  • Reduced ambiguity during recovery workflows

Critical information remains visible rather than disappearing after interaction.

Attention management

Factory operators divide attention between:

  • Robot motion

  • Nearby personnel

  • Production activity

  • Audible machine cues

  • Pendant interaction

The original interface treated nearly all information equally, increasing visual competition.

Design response

The redesign introduces:

  • Strong visual prioritization

  • Peripheral alarm visibility

  • Reduced eye travel

  • Grouped interaction zones

  • Faster pre-attentive recognition

The illuminated vertical status bar supports rapid peripheral awareness without requiring direct fixation.

Physical ergonomics

Teach pendants are often operated:

  • One-handed

  • While standing

  • During movement

  • While wearing gloves

  • Under fatigue

Ergonomic improvements

The redesign features:

  • Larger buttons

  • Improved spacing

  • Reduced precision requirements

  • Centralized high-frequency controls

  • Clear thumb-access zones

Interaction targets were intentionally oversized to improve confidence during gloved operation.

Alarm fatigue

Industrial environments frequently overwhelm operators with excessive alarms. When alarms become constant or visually repetitive, operators begin ignoring them.

Alarm strategy

The redesign focuses on:

  • Alarm hierarchy

  • Reduced competing signals

  • Clear severity differentiation

  • Faster recognition of actionable states

Only the most important information receives dominant visual emphasis.

System trust

Industrial operators build trust through:

  • Predictability

  • Consistency

  • Immediate feedback

  • Stable layouts

  • Reliable state visibility

Trust-focused design decisions

The redesign preserves:

  • Deterministic interaction patterns

  • Fixed spatial memory

  • Industrial visual language

  • Mechanical visual identity

The interface intentionally avoids feeling like a consumer tablet UI.

Instead, it communicates:

  • Stability

  • Reliability

  • Operational seriousness

A handheld industrial control device with a digital display and keypad, connected to a cable, in a manufacturing or industrial setting.
A handheld industrial control device with a digital display and keypad, connected to a cable, in a manufacturing or industrial setting.

Visual design principles

The visual system was inspired by:

  • Industrial HMIs

  • Aerospace control systems

  • Mission-critical instrumentation

  • Cyber-physical operational interfaces

Key principles included:

  • Minimal visual noise

  • Strong contrast

  • Functional color usage

  • Clear operational zoning

  • High-density information without clutter