Intelligent, Safe, and Dynamic Multiagent Systems

Speaker: Roberto Tron , Boston University

Date: Tuesday, February 04, 2020

Time: 10:30 AM to 11:30 AM Note: all times are in the Eastern Time Zone

Public: Yes

Location: 34-401A

Event Type: Seminar

Room Description: Grier 31-401A conference room

Host: John Leonard & Luca Carlone , MIT

Contact: Niranjala Manokharan,

Relevant URL:

Speaker URL:

Speaker Photo:

Reminders to:

Reminder Subject: TALK: Intelligent, Safe, and Dynamic Multiagent Systems


Automation is entering many aspects of our society. Tasks in many areas are increasingly being entrusted to robots and other autonomous systems.

We expect these systems to be intelligent, safe, and, as consequence of their increasing presence, to automatically
coordinate and collaborate.

This talk will present work supporting this vision at multiple levels, ranging from perception, to real-time control, to high-level planning. At each stage, we will examine the relation with the underlying multi-agent setting, providing a balanced mixture of theoretical and implementation results.


Roberto Tron is an Assistant Professor in the Mechanical Engineering department at Boston University. He received
his B.Sc. (2004) and M.Sc. (2007) degrees (highest honors) from the Politecnico di Torino, Italy. He received a
Diplome d'Engenieur from the Eurecom Institute and a DEA degree from the Universit de Nice Sophia-Antipolis in 2006. He
received his Ph.D. in Electrical and Computer Engineering from The Johns Hopkins University in 2012, and has been a
post-doctoral researcher with the GRASP Lab at the University of Pennsylvania until 2015.

At Boston University, he developed a new class for introducing robotics at the undergraduate level, and regularly offers a class on motion planning at the Master and PhD level.

His research spans automatic control, robotics and computer vision, with particularly interest in applications of Riemannian geometry and in distributed perception, control, and planing for teams of multiple agents.

He was recognized at the IEEE Conference on Decision and Control with the General Chairs Interactive Presentation Recognition Award (2009), the Best Student Paper Runner-up (2011), and the Best Student Paper Award (2012). His research interests include applications of Riemannian geometry and optimization to problems in computer vision, control of multi-agent systems and robotics.

Research Areas:

Impact Areas:

This event is not part of a series.

Created by Niranjala Manokharan Email at Friday, January 31, 2020 at 9:33 AM.