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CAMPUS NEWS


Introducing the Master’s in Robotics Program at The Georgia Institute of Technology

According to the Georgia Chamber of Commerce, automation and robotics is expected to be a primary area of growth in Georgia over the next decade. This increasing demand drives a need for experienced, educated, and qualified professionals to serve and lead in these increasingly automated industrial and service-oriented environments. To meet this growing demand, the Georgia Institute of Technology has developed a new interdisciplinary master’s Program in Robotics. 

This 36 credit-hour, cohort-based program is a professional Master of Science in Robotics over four semesters designed to produce industry-ready engineers and scientists with the theoretical knowledge and practical skills needed to meet the challenges of rapidly growing interdisciplinary technologies in professional careers related to designing and developing robotics and automation solutions.  Such a program is in high demand by not only students but also a growing list of local and global companies interested in robotics and factory automation.

Offered collaboratively by six schools in the Colleges of Computing, Engineering and Sciences:
  • Aerospace Engineering
  • Biomedical Engineering
  • Electrical and Computer Engineering
  • Interactive Computing
  • Mechanical Engineering
  • Physics
 
See the Course Catalog Entry & Requirements Here
 

Robotics PhD - New Student Orientation - Fall 2020.
 
Date:  Friday, August 14, 2020
Time:   11:00am - 12:00 noon
Place:  The Cyber
 

Save the Dates - Fall 2020 Virtual Seminar Series
All Seminars Streaming 12:15 EDT
 
Full Schedule of Dates and Themes Coming Soon
 
Darwin the Angry Birds playing robot with a GT student.
Awards & Accolades

Dellaert Wins Test of Time Award for a Second Time This Year

For the second time this summer, Frank Dellaert has been awarded a Test of Time Award. This time, the award comes from Robotics Science and Systems (RSS) and recognizes Dellaert’s papers, Square Root SAM and Square Root SAM: Simultaneous localization and mapping via square root information smoothing.

“Receiving a test of time award is amazing and humbling. Being recognized for the RSS paper is special to me because it recognizes work Michael and I have done at Georgia Tech, after I joined as an assistant professor back in 2001..." said Dellaert, a professor in the School of Interactive Computing and Machine Learning Center at Georgia Tech. Dellaert is also affiliated with the Institute for Robotics and Intelligent Machines and the GVU Center.

 

Coogan Receives Eckman Award

Sam Coogan received the 2020 Donald P. Eckman Award at the American Control Conference, which was held July 1-3 in an online format. Coogan serves as the Demetrius T. Paris Assistant Professor, an endowed position in Georgia Tech’s School of Electrical and Computer Engineering, where he holds a joint appointment.
 
3 IRIM Faculty Selected for the 2020-21 Emerging Leaders Program Cohort

Starting in Fall 2020 and continuing through Spring 2021, the 16 participants will take part in leadership development workshops, a fall weekend activity, small-group work, self-assessments, and 360-degree assessments.
Rafael L. Bras, provost and executive vice president for Academic Affairs and K. Harrison Brown Family Chair states, “Since 2016, the program has supported faculty who are passionate about continuing their leadership journey and, in so doing, has promoted a growing culture of leadership at Georgia Tech.”

Professor Karen Feigh, Daniel Guggenheim School of Aerospace Engineering
  • Decision Support System Design
  • Computational Cognitive Modeling for Engineering Design
Professor Facundo M. Fernández, School of Chemistry and Biochemistry
  • Bioanalytical Mass Spectrometry
  • Metabolomics
  • Pharmaceutical Forensics
Professor Fumin Zhang, School of Electrical and Computer Engineering
  • Underwater and Marine Robotics
  • Motion Planning in Complex Environments
Robot Integrated Palletization System (RIPS) Project wins GTRI 2020 IRAD of the Year

GTRIs robot palletization systemFor the US armed forces, palletization, a process in which  one or two soldiers retrieve boxes from manifest sheets, prepare a staging area, and then load supplies onto pallets for transportation, is tedious, prone to error, and most importantly, dangerous. The RIPS team, led by GTRI’s Chief of Robotic Systems and Technologies Branch, Dr. Stephen Balakirsky, participated in a challenge program to create an agile robotic palletization solution that can take custom orders and create a provably compact load-out of boxes ready for transportation.
 
For the IRAD competition, GTRI/GT junior personnel spearheaded each of the subcomponents, with the collaboration of a masters-level graduate student, several co-op students, and interns. By the completion of the project, this team had constructed a robotics cell within the Advanced Manufacturing Pilot Facility that utilized two UR5 robotic arms, a three-meter long rail, and static hardware to demonstrate palletization. At the conclusion of this build, the entire system could work together to construct a made-to-order pallet using scaled-replica ammunition boxes in a timely manner.
 
The team made several technical innovations that led to their award including 1) developing a pallet optimization algorithm, 2) creating a task planning infrastructure, 3) formulating control and coordination algorithms for multi-DOF systems, and 4) utilizing mechanical intelligence to simplify control and increase robustness.   The project culminated with a fully autonomous demonstration of custom pallet creation. 
 
The success of the IRAD team was greatly assisted by collaboration with Georgia Tech’s Institute for Robotics and Intelligent Machines (IRIM).  IRIM helps connect researchers from throughout Georgia Tech, and enhances collaboration through funding mechanisms, seminars, and outreach events.

Congratulations to the GTRI RIPS Team Members
  • Stephen Balakirsky (PI), Principal Research Scientist, GTRI 
  • Matthew Marcum, Research Engineer II, GTRI 
  • Konrad Ahlin, Research Engineer II, GTRI 
  • Donald Dole, Research Engineer I, GTRI 
  • Raymond Kim, MS Student, GT Mechanical Engineering 
  • Ani Mazumdar, Assistant Professor, GT Mechanical Engineering

IRIM in the NEWS


Robots are getting personal during the pandemic..
A “Marketplace Tech” podcast & interview with Professor A. Howard

 Ayanna Howard with one of the interactive androids that help children with autism improve their social and emotional engagement. This week on “Marketplace Tech,” we’re reporting on the innovations that will help us transition to a post-pandemic future. One of those innovations has been waiting in the wings for a long time: robots.

Robots can do jobs that are too dangerous for humans or just make life a little easier and offer some companionship during quarantine. I spoke with Ayanna Howard, a roboticist and professor at Georgia Tech. She said the pandemic has been a boost for robotics of all types.


Read the full story or listen to the podcast here.

Local Source: Public Broadcasting Atlanta 90.1 FM [http://www.wabe.org]
IRIM Faculty Lab Highlight

The Adaptive Robotic Manipulation (ARM) Laboratory
PI | Frank L Hammond, Ph.D.
Assistant Professor, Department of Biomedical Engineering & Mechanical Engineering


Sensory feedback-enabled powered upper-limb prosthesis capable of displaying information about device-object interactions, and about its kinematic configuration, to the human user via mechanotactile stimulation.MISSION:
The Adaptation Robotic Manipulation Laboratory focuses on a variety of topics in robotic manipulation, including underactuated robotic grasping, kinematically redundant manipulation, teleoperative robotic surgery surgical training, and wearable human augmentation devices. The goal of this research is to leverage our knowledge of human and animal motion (locomotion, grasp synergies, robustness to uncertainty and variation), novel embedded sensing and actuation methods (soft sensors, biosensors, transformable structures), and computational design methods (machine learning, evolutionary optimization) to create robotic devices that boast the versatility and adaptability of biological organisms/manipulators while possessing the precision, strength and speed of man-made machines.

Access the ARM Lab Here
 
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Institute for Robotics and Intelligent Machines (IRIM)
Klaus Advanced Computing Building
266 Ferst Drive
Atlanta, GA 30332-3000

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