Description:
Blind massaging a mannequin's back (among other interactions) using a first-principles (differential geometric) formulation for safe Physical Human Robot Interaction (PHRI)
Autonomous Robotic Grasping of Novel Objects in Cluttered Scenes
Description:
Faster than real-time surface segmentation of novel objects using a first-principles (geometry and calculus) formulation with a parallelized implementation on a desktop computer.
UCFTV Showcases UCF-MANUS
Description:
The Assistive Robotics team at UCF has developed a prototype that may one day improve the lives of people with disabilities.
Orlando Health study examines technology developed by UCF
Description:
The Orlando Health Rehabilitation Institute and the University of Central Florida are evaluating technology
developed by the university to operate the robotic arm, in an effort to help design controls that are best
suited for patients as they reach forward for a greater quality of life.
UCF Manus Arm Goes Stereo
Description:
This video shows different examples of automated object grabbing using stereo
vision in the hand of a robot. We show the ability of the system with objects of
different sizes, objects on high and low shelves as well as objects on the floor,
we also show upright and laid down objects. We also demonstrate how the GUI can be
commanded using head tracking, speech, touch screen, trackball, etc. thereby allowing
disabled users with varying levels of disability to access the system. We also show
the ability of our system to provide audio and video feedback to the user. Notice
that all tasks are performed under natural lighting and in an unstructured environment.
Smart Manus Arm Overview
Description:
This is a simple demonstration showing the gross and fine motion phases of the
robotic arm after the user indicates an object of interest through speech, trackball,
touchscreen or another input device. Gross motion is the stage in which the robot
makes a rough approach to the object of interest. Once the object is centered and
zoomed in on, the robot can perform fine motion, where the gripper will orient itself
to retrieve the object.
Manual versus Automatic Control
Description:
This shows three different control modes on the robot, namely (a) Manual using
Keypad, (b) Manual using Graphical User Interface (GUI), and (c) Automatic using GUI.
In manual keypad control, the user can control the robot in Cartesian mode using a
keypad giving commands such as UP, LEFT, YAW RIGHT, PITCH DOWN, etc. In the second
mode, the user interfaces with the robot through a GUI instead of the keypad, thus,
making it easier on the user to command the Cartesian motions. The third control mode
is called Auto control mode. Auto control mode consolidates the 14 different command
buttons on the GUI into a a smaller and more intuitive subset such as approach, retreat,
go, etc. This simplifies common pick and place tasks.
