Robotics & Multi-Agent Systems
Robotics and Multi-Agent Systems involves the concepting, building, and
implementation of robots, as well as the collaborative programming of multiple robots, to perform certain tasks.
CISE Student, Akua Kodie Dickson, Featured by BU College of Engineering for Autonomy Research
CISE student Akua Kodie Dickson (SE Ph.D. candidate) is working to advance safety and trust in robotics. During her Ph.D., Dickson began working with robotic controllers and motion planning. This led her to find a passion for safe autonomy — robots doing autonomous tasks and helping humans solve problems in a safe way. “One of […]
CISE Faculty Recognized for Groundbreaking AI Research with AIRR Awards
Recognized for their cutting-edge research in artificial intelligence, 11 CISE faculty affiliates have been honored with AI Research Resource (AIRR) awards. This Hariri Institute program supports AI research at Boston University by giving researchers access to the New England Research Cloud (NERC), a regional computing infrastructure that provides cloud-based resources tailored to academic research. A […]
CISE Hosts Learning to Trust Autonomy Workshop to Foster Collaboration in Autonomous Systems
In March 2024, Roscoe, a Massachusetts State Police robot dog produced by Boston Dynamics, was shot three times while engaged in a standoff in Cape Cod. During the standoff, Roscoe cleared the building before police officers entered, demonstrating how robotics can help and protect humans. The rapid advancement in autonomous systems and robotics has impacted […]
CISE Students Win CSS TC 2024 Outstanding Student Paper Prize
The committee for the Outstanding Student Paper Prize 2024 announced this year’s prestigious award recipients. Among six national nominations, one paper written by two CISE students stood out for its innovative contributions to the field of smart cities. Ehsan Sabouni and H.M. Sabbir Ahmad and their collaborators are exemplars of academic excellence and collaborative spirit. […]
Sabelhaus Receives NSF CAREER Award
Andrew Sabelhaus , Assistant Professor in the Mechanical Engineering Department, recently received the prestigious Faculty Early Career Development Program (CAREER) award from the National Science Foundation. Sabelhaus plans to develop soft robots that can be used for healthcare applications such as drawing blood, checking blood pressure, and administering flu shots or nasal swabs. These robots could perform such tasks at […]
The Future of Driving: Control Barrier Functions and the Internet of Vehicles
The National Highway Traffic and Safety Association reports that 94% of serious car crashes are due to human error. Christos Cassandras, Boston University Distinguished Professor of Electrical & Computer Engineering, Head of the Division of Systems Engineering, and a co-founder of the Center for Information & Systems Engineering (CISE), has made monumental contributions to the […]
RASTIC Grand Opening: A New Robot Exploration and Testing Facility for Students
Guided by the Boston University College of Engineering’s belief that “Great Minds Do Not Think Alike,” the new BU Robotics & Autonomous Systems Teaching and Innovation Center (RASTIC) was officially set in motion on March 4, 2024. RASTIC will not only allow students to expand and hone their robot skills but will serve as an […]
A Coordinated Approach to Cyber-Situation Awarness Based on Traffic Anomaly Detection
This project aims at developing a suite of anomaly detection algorithms and tools monitoring network traffic and operating both at the local (resource) level and the wider (global) network level. It will leverage recent work by the PIs on statistical temporal anomaly detection using random and Markovian models and on detecting wider network spatial anomalies […]
Reliable Multi-Agent Control in Failure-Prone Environments via Inhomogenous Markov Chains
This project developed protocols for the coordination of autonomous nodes such as UAVs, ROVs, and other robotic platforms operating in fault-prone environments characterized by noisy and time-varying communication, message losses, and persistent and unpredictable node failures. For problems of formation control, leader-following, cooperative estimation and learning, resource allocation, and others tasks fitting within a separable […]
Eshed Ohn-Bar: Advancing Assistive Technologies with AI
For someone who is visually impaired, navigating an unfamiliar street can be challenging. Even going straight can be tough in an open space. Encountering obstacles, stairs, and intersections can potentially result in an unsafe situation. While aids, such as white canes or guide dogs are helpful, they can’t exactly tell someone who is visually impaired […]