Human Motion.
Recreated.

GRIP is a wearable glove and robotic hand system that captures human finger motion and replicates it in real time—enabling safe, remote interaction in hazardous environments.

View Documents Watch Demo
Wireless control
Low-latency motion mimic
Safety-focused remote interaction

Project Overview

GRIP enables a user-controlled robotic hand to mirror real-time finger motion through a wearable glove, allowing safer remote interaction in hazardous environments.

01

Real-Time Control

Finger motion is captured by the glove and transmitted wirelessly for fast robotic hand response.

02

Wireless System

GRIP uses embedded control and wireless communication to support responsive motion replication.

03

Safety Focused

The system is designed for environments where direct human interaction may be unsafe.

01

Sensor Glove Input

GRIP captures finger motion through the wearable glove and wirelessly transmits that data for real-time robotic hand replication.

Key Specifications

Arm Specs

Pinch Force≥ 10 N
Closing Time≤ 300 ms
Latency≤ 250 ms
Runtime≥ 1.5 hr

Glove Specs

Mass≤ 150 g
Runtime≥ 1.5 hr
Latency≤ 250 ms
WirelessnRF24L01

Project Documents

Report
Divide and Conquer
PDF Document
Report
Midterm Report
PDF Document
Final
SD1 Final Report
PDF Document
Paper
GRIP Conference Paper
PDF Document
Slides
CDR Presentation Slide
Presentation PDF
Slides
Final Presentation Slide
Presentation PDF
Final
SD2 Final Report
PDF Document

Demo & Presentation Videos

Video
Senior Design Demo Video
MP4 Video
Video
CDR Presentation Video
MP4 Video
Video
Midterm Demonstration Video
MP4 Video
Video
Final Presentation Video
MP4 Video
Video
Final Demonstration Video
MP4 Video

Meet Our Team

Kane McAgy
Kane McAgy

Kane McAgy

Electrical Engineering

Contributed to the GRIP system design with focus on hardware integration, electrical implementation, and overall system development.

Christopher Marcoccia
Christopher Marcoccia

Christopher Marcoccia

Electrical Engineering

Contributed to hardware development and system design for the GRIP platform, with interest in control systems and prosthetic-related applications.

Rian Lowery
Rian Lowery

Rian Lowery

Computer Engineering

Worked on embedded systems, wireless communication, and software logic for real-time motion replication in GRIP.

Griseld Xhengo
Griseld Xhengo

Griseld Xhengo

Electrical Engineering

Supported the design and development of the GRIP system with emphasis on electrical engineering implementation and project integration.

Group Advisor

Dr. Saleem Sahawneh

Faculty Advisor

Dr. Saleem Sahawneh

Faculty advisor for Group 21, providing oversight and technical guidance for the GRIP senior design project, including support in system design, evaluation, and project direction.

UCF EECS Senior Design I

Review Committee

Dr. John Aedo

Dr. John Aedo

Review Committee

UCF EECS
Dr. Sudeshna Pal

Dr. Sudeshna Pal

Review Committee

UCF EECS
Dr. Wei Sun

Dr. Wei Sun

Review Committee

UCF EECS