A real-time dashboard for monitoring robot systems and enabling rapid operator response.
Skills: GUI design, User Research & Interviews
Software: Figma, Miro
At Black-i-Robotics, autonomous robots were getting smarter, but operators needed interfaces that kept up. I designed an AI-powered control platform that made robot behavior easy to understand, safe to manage, and fast to act on.
Operators were required to monitor multiple robotic systems simultaneously in fast-paced logistics environments.
Operators were required to monitor multiple robotic systems simultaneously in fast-paced logistics environments.
Warehouse Automation Operator
Responsibilities:
monitoring multiple robots
managing system alerts
ensuring smooth operation
Key Features:
Robot health dashboard (battery, temperature, signal)
Joint-level control system
Emergency stop and override controls
Live alerts and system logs
Results:
Improved clarity of robot system status
Reduced operator cognitive load
Enabled faster response to system failures
monitor robot status in real time
quickly intervene during failures
manage multiple systems with reduced cognitive load
Operators need real-time visibility of robot status
Alerts must be clear and prioritized
Manual overrides must be fast and accessible
Existing interfaces were fragmented, making it hard to track robot states, prioritize alerts, and respond quickly.
This led to slower decision-making, increased cognitive load, and reduced operational efficiency during high-pressure shifts.
I mapped key robot states, controls, and alerts to create a structured system that reduces complexity and improves clarity.
I explored multiple layout directions through sketches and low-fidelity wireframes to define:
system hierarchy
control placement
alert visibility
Focused on enabling quick actions such as:
pausing robot activity
manual overrides
responding to alerts
Designing a Robotics Control Platform 🤖
For warehouse automation
Problem
Problem
Users
Designing the Interface
Reflection
Impact
Final Design
Structuring the System
Design Challenge
The Problem
The Problem
Primary User
The final interface was designed to prioritize real-time visibility and quick decision-making.
Designing for robotics systems taught me how to balance automation with human control.
I learned how to design interfaces that communicate complex system states clearly while supporting fast decision-making in high-pressure environments.
The final dashoard enables operators to:
How might we design a system that allows operators to monitor robot health, respond to failures instantly, and maintain control in high-pressure environments?
Key Insights
Why it was difficult
Impact
Information Architecture
Wireframes & Exploration
Interaction Design
Team: Gaurav Singh
Duration: 1 year
