The Prime Robot
No Thumbnail Available
Date
2025
Authors
Younis Masri
Yanal Oudeh
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The Prime Robot is a smart robotic assistant designed to demonstrate a complete, end-to-
end human–robot interaction (HRI) stack that is safe, intuitive, and adaptable. The system
integrates perception, decision, and actuation in a modular pipeline: it interprets user
intent through multimodal inputs—hand gestures, Bluetooth commands, and voice—
arbitrates behavior with a safety-first controller, and executes smooth, coordinated arm
actions. A signature capability is Follow Mode: with a single activation gesture, the robot
enters a hands-free mode that autonomously continues the assigned task while
continuously monitoring proximity; it pauses when a safety threshold is reached and
automatically resumes once conditions are clear. An explicit stop gesture exits Follow
instantly, and safety interlocks remain active across all modes.
Beyond Follow, the platform supports direct driving (forward/turn/reverse/stop), a
configurable speed interface, and a demonstration arm sequence for simple pick-and-place
routines. A lightweight mobile interface can be used to switch modes, issue commands,
and review status remotely. The architecture is deliberately hardware-agnostic and built
around clean software boundaries, enabling replication in educational labs and easy
substitution of sensors or compute without redesigning the control logic.
The Prime Robot is designed as a practical assistant: it analyzes the user’s hand gestures
in real time and performs the corresponding actions—moving forward, turning, stopping,
triggering simple arm routines, or entering/exiting Follow mode. By prioritizing clear
intent recognition and conservative proximity safeguards, it reduces operator effort and
ambiguity in shared spaces while delivering responsive, predictable behavior for
instructional and service settings. Future work will expand the gesture vocabulary, refine
the decision policy, add soft start/stop and richer status feedback, and conduct user studies
to evaluate accuracy, comfort, and trust.