The Prime Robot
| dc.contributor.author | Younis Masri | |
| dc.contributor.author | Yanal Oudeh | |
| dc.date.accessioned | 2026-02-10T08:50:26Z | |
| dc.date.available | 2026-02-10T08:50:26Z | |
| dc.date.issued | 2025 | |
| dc.description.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. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/20829 | |
| dc.supervisor | Dr. Anas Toma | |
| dc.title | The Prime Robot |
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