In this webinar you’ll learn about professor Rodriguez’ research on autonomous robotic manipulation, dexterous manipulation and grasping, robot automation and end-effector design.
Using machine-learning and sensory hardware, Dr. Alberto Rodriguez and members of MIT's MCube lab, have developed a robot that is learning how to play the game Jenga®. This technology could be used in robots for manufacturing assembly lines.
You’ll also learn how, by using a novel dataset that captures how pushed objects move, he is training robots to “learn” pushing dynamics that are fundamental to many complex object-manipulation tasks.
He will also present how to significantly speed up the planning process required for a robot to adjust its grasp on an object by pushing that object against a stationary surface.
Join the MIT Industrial Liaison Program for a four-part webinar series on Manufacturing 4.0, presenting the latest research and technology in advanced manufacturing at MIT. Each session includes a talk and Q&A with expert faculty in the field, startup presentations from founders affecting industry, and panel discussions.
Alberto Rodriguez is the Class of 1957 Associate Professor at the Mechanical Engineering Department at MIT. Alberto graduated in Mathematics ('05) and Telecommunication Engineering ('06) from the Universitat Politecnica de Catalunya, and earned his PhD (’13) from the Robotics Institute at Carnegie Mellon University. He leads the Manipulation and Mechanisms Lab at MIT (MCube) researching autonomous dexterous manipulation, robot automation, and end-effector design. Alberto has received Best Paper Awards at conferences RSS’11, ICRA’13, RSS’18, IROS'18, and RSS'19, the 2018 Best Manipulation System Paper Award from Amazon, and has been finalist for best paper awards at IROS’16, IROS'18, ICRA'20 and RSS'20. He has led Team MIT-Princeton in the Amazon Robotics Challenge between 2015 and 2017, and has received Faculty Research Awards from Amazon in 2018, 2019 and 2020, and from Google in 2020. He is also the recipient of the 2020 IEEE Early Academic Career Award in Robotics and Automation.
Akasha Imaging: Imaging and AI for Manufacturing Automation and Inspection
Realtime Robotics: Motion planning for autonomous robots & vehicle
Kartik Venkataraman is CEO of Akasha Imaging, a computational imaging and deep learning startup in Palo Alto, California that is focused on robotic automation in manufacturing and inspection. His interests lie in commercializing deep technology in the areas of computer vision and imaging with specific focus on business development, product management, and strategic planning. He was previously CTO and Founder of Pelican Imaging that focused on computational array cameras for the mobile imaging market and which was later acquired by Xperi Corporation. Prior to founding Pelican, Kartik headed the Computational Camera group at Micron Imaging (Aptina), and held senior research roles at Intel in 3D and medical imaging where he worked on joint programs with Johns Hopkins Medical School, and the Institute for Systems Science in Singapore. He is a recognized thought leader in the imaging field and holds more than 50 patents in the areas connected to computational imaging. He received his Ph.D. in Computer Science from University of California, Santa Cruz, MS in Computer Engineering from University of Massachusetts, Amherst, and B.Tech (Honors) in Electrical Engineering from the Indian Institute of Technology, Kharagpur.
Born and raised in Boston Massachusetts, Tom Munger has been fortunate enough to spend his entire career in the robotics industry. Tom began working with Softbank Robotics (Formerly Aldebaran Robotics) helping k-12 and university students realize the importance of STEM disciplines, namely computer Science and programming. Shortly thereafter Tom joined the industry defining team at Rethink Robotics as the collaborative robot category was taking off.
While at Rethink Tom relocated to Los Angeles CA and was responsible for building the West Coast business.
After a short stint at a Los Angeles based robotics start-up, Invia Robotics, Tom joined Boston based, Realtime Robotics whose mission is to transform how industrial robotic applications are programmed, deployed and executed.
Tom is responsible for all commercial business in North America for RTR and is currently managing the accounts of some of the world's most innovative and well regarded manufacturing organizations.