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.
CNS Core: Small: Collaborative Research: HEECMA: A Hybrid Elastic Edge-Cloud Application Management Architecture
Application software is becoming increasingly abundant in functionality and increasingly demanding of resources, e.g., memory and compute power. This project examines how application software, e.g., a Virtual Reality (VR) based drone control application, can be partitioned and deployed over different parts of a distributed computing infrastructure, i.e., resources are managed by a hybrid of service […]
Sch: Multimodal, Task-aware Movement Assessment And Control: Clinic To Home
We propose to develop a novel, distributed sensor platform that continuously assesses movement in the background of one’s life with the goal of helping people age in place and avoid expensive and lengthy hospitalizations. On the one hand, the platform will combine measurements from a heterogeneous and complementary set of inertial, physiological , and vision […]
Neuro-Autonomy: Neuroscience-inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots
State-of-the-art Autonomous Vehicles (AVs) are trained for specific, well-structured environments and, in general, would fail to operate in unstructured or novel settings. This project aims at developing next-generation AVs, capable of learning and on-the-fly adaptation to environmental novelty. These systems need to be orders of magnitude more energy efficient than current systems and able to pursue complex goals in […]
Decentralized optimal control of cooperating networked multi-agent systems
Multi-agent systems encompass a broad spectrum of applications, ranging from connected autonomous vehicles and the emerging internet of cars, where the spatial domain may be hundreds of miles with time horizons over hours of days, to micro-air vehicles which operate over meter length and minute time scales, and down to nano-manipulation with nanometer spatial microsecond […]
How to Make Self-Driving Vehicles Smarter, Bolder
With $7.5M DOD grant, BU researchers head international team developing bioinspired control systems for self-navigated vehicles Autonomous vehicles that can maneuver themselves around any city are already out on our public roads, says Yannis Paschalidis, but operating off-road remains a challenge. “These vehicles are designed for very structured environments, within roads and lanes,” says Paschalidis, a […]
BU-led Research Team Wins Competitive $7.5 million MURI Grant to Create Neuro-Autonomous Robots
By Maureen Stanton, CISE Dream Team of Engineers, Computer Scientists, and Neuroscientists from BU, MIT, and Australia to develop neuro-inspired capabilities for Land, Sea, and Air-based Autonomous Robots A Boston University-led research team was selected to receive a $7.5 million Multidisciplinary University Research Initiative (MURI) grant from the U.S. Department of Defense (DoD). With this […]
CISE Affiliated Faculty, Calin Belta, Heads New Center for Autonomous and Robotics Systems
By Liz Sheeley College Establishes New Center for Autonomous and Robotics Systems: Professor Calin Belta will serve as the inaugural director The College of Engineering has established a new, interdisciplinary Center for Autonomous and Robotics Systems (CARS) that will build upon the expertise and experience of the current faculty and advanced facilities. Professor Calin Belta […]
Paschalidis Hosts Symposium on Control and Network Systems
in NEWS by Liz Sheeley The 2nd Symposium on the COntrol of NEtwork Systems (SCONES) will be held on Monday, October 16 and Tuesday, October 17, 2017, at the Boston University Photonics Center. SCONES is being hosted by Professor Ioannis Paschalidis (ECE, BME, SE), the Editor-in-Chief of the IEEE Transactions on Control of Network Systems (TCNS), a publication sponsored by the IEEE Control Systems […]
Control of Micro Aerial Vehicles under Aerodynamic and Physical Contact Interactions
The goal of this project is to make quadrotors and other similar small-scale flying rotorcraft safer and easier to fly. Both recreational and commercial use of these vehicles has recently surged in popularity. However, safety concerns about potentially damaging collisions limit their deployment near people or in close formation, and the current state of the […]
NRI: INT: COLLAB: Robust, Scalable, Distributed Semantic Mapping for Search-and-Rescue and Manufacturing Co-Robots
The goal of this project is to enable multiple co-robots to map and understand the environment they are in to efficiently collaborate among themselves and with human operators in education, medical assistance, agriculture, and manufacturing applications. The first distinctive characteristic of this project is that the environment will be modeled semantically, that is, it will […]