UROP Project
DexKit: Low-cost Educational Platform for Dexterous Manipulation of a Robotic Arm
Haptics, Robotics, Robot-Human Interfaces
Research Mentor: John Marcial-Manjarres, He/Him
Department, College, Affiliation: Mechanical Engineering, FAMU-FSU College of Engineering
Contact Email: john1.marcial@famu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Mechanical Engineering, FAMU-FSU College of Engineering
Contact Email: john1.marcial@famu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Engineering
Computer Science
Project Location: College of Engineering: AME
Research Assistant Transportation Required: FAMU and FSU buses go from on campus to engineering center Remote or In-person: In-person
Approximate Weekly Hours: 10-20, During business hours
Roundtable Times and Zoom Link:
Number of Research Assistants: 2
Relevant Majors: Engineering
Computer Science
Project Location: College of Engineering: AME
Research Assistant Transportation Required: FAMU and FSU buses go from on campus to engineering center Remote or In-person: In-person
Approximate Weekly Hours: 10-20, During business hours
Roundtable Times and Zoom Link:
- Day: Friday, September 4
Start Time: 1:00
End Time: 2:00
Zoom Link: https://us04web.zoom.us/j/7696970324?pwd=3G39GIQElBWZjtwEmMC5OK09vOxnbV.1
Project Description
This project seeks to establish a low-cost educational platform to teach robotic dexterity. Current state-of-the-art for robotic hands can mimic the likeness of an actual human hand in both fine movements and force, however not without financial setbacks making these largely inaccessible to students. For this project, the following research questions will drive this study:1) How can we reach the same performance as state-of-the-art with off-the-shelf components?
2) How do we design a control system with these reduced parameters?
3) How many different human-input methods can we implement into one platform?
This study utilizes resources from collaborators, such as haptic devices, that we can modify for a more robust educational platform and expand what we can teach. We currently have a platform running with a control interface, but we are looking to expand!
Research Tasks: data collection, data analysis, 3D modeling, literature review, programming
Skills that research assistant(s) may need: Required - Mechatronics Embedded Systems (Arduino, Raspberry Pis, etc), CAD (SolidWorks or Fusion 360)
Recommended - Programming (Python or C/C++)