*This event is virtual only* Zoom: https://northeastern.zoom.us/j/98344781352 Title: DenseTact: Calibrated Optical Tactile Sensing for the Next Generation of Robotic Manipulation Abstract: Robotic dexterity stands to be the key challenge to making collaborative robots ubiquitous in the home and industry environments, particularly those that require adaptive systems. The last few decades have produced many solutions in […]
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Join the Graduate Admissions team for an IN-PERSON recruiting event in Los Angeles, California! The event will take place at USC Trousdale Pkwy Los Angeles , California on October 20th between 10:00 AM to 2:00 PM PST. Registration and event details may be found at the website below. We look forward to seeing you there!
"Improving Computational Efficiency of Motion Planning Algorithms for Mobile and Time-Dependent Robotic Tasks in Dynamic Environments" Abstract: Robots will become a part of our lives at home as personal assistants. Although their current functionality is highly restricted to specific tasks and environments, their practicality encourages robotics engineers for further advancement. Especially, mobile robots with manipulation […]
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Learn about the PlusOne Accelerated Master's Degree Program A master’s degree can provide you with an additional level of expertise in an area aligned with your career goals. As a currently enrolled Bachelor of Science (BS) student in the College of Engineering at Northeastern, you have the opportunity to earn a Master of Science degree […]
Join this webinar to learn about MS Information Systems, MS Information Systems Bridge, MS Data Architecture & Management, and MS Software Engineering Systems
Join this webinar to learn about the Mechanical + Industrial Engineering Graduate Programs at Northeastern University
Committee: Prof. Yong-Bin Kim. Advisor Prof. Marvin Onabajo Prof. Lombardi Fabrizio Abstract: In order to match the needs of powerful neural networks and meet the hard constraints from hardware, binary neural networks are treated as hardware-friendly deep learning algorithms due to the fact that it can achieve similar inference accuracy with fewer computing resources […]