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 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 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 […]

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 […]

Using Soft Robotics to Increase Safety and Success in Surgery

  Lung cancer affects more than 230,000 Americans, and more than 120,000 will die from it every year. However, the efficiency and consistency of lung cancer biopsies are low, reaching nearly 81%, according to a recent study. Professor Sheila Russo, the founder and director of the Boston University Material Robotics Laboratory, works to combat untrustworthy cancer […]