search

UMD     This Site





On January 21, thirty-six invited participants from the university, government agencies, and corporate partners attended the Collaborative Autonomy Infrastructure Workshop, held at the Brendan Iribe Center for Computer Science and Engineering on campus.

Networks of multiple autonomous agents could be valuable in tasks like search and rescue missions. These agents would work collaboratively to accomplish the mission, and would need to coordinate their behaviors with each other. An infrastructure is needed to support development and testing of the enabling algorithms these agents would use in such situations; the workshop addressed the needs of this infrastructure.

Workshop participants generated requirements for potential users, including academic researchers, system developers, and autonomous system programs. They also identified technologies and concepts that could satisfy requirements for simulation models, development tools, data analysis and test procedures. Follow-up activities post-workshop will focus on identifying opportunities and partnerships to develop and build key components of the infrastructure.

The workshop was supported by the Maryland Catalyst Fund, the A. James Clark School of Engineering, the College of Computer, Mathematical, and Natural Sciences (CMNS), and the Applied Research Laboratory for Intelligence and Security (ARLIS).  Professor Jeffrey Herrmann (ME/ISR), ISR-affiliated Professor Adam Porter (CS), and ISR-affiliated Craig Lawrence (Deputy Director for Systems Research at ARLIS) organized the workshop, with assistance from ISR-affiliated Professor Dinesh Manocha (CS) and Professor Pratap Tokekar (CS).

For more information, please contact any of the workshop organizers.



Related Articles:
A cooperative control algorithm for robotic search and rescue
Clark School researchers test decentralized task allocation algorithms for UAV teams
Hybrid compositional planning for UAV rescue missions
Do Good Robotics Symposium to explore technologies that benefit society and the planet
RoadTrack algorithm could help autonomous vehicles navigate dense traffic scenarios
Aerodynamic interaction model improves quadrotor flight stability in gusty winds
Forecasting traffic for autonomous vehicles
Manocha keynote speaker at 2019 IEEE RO-MAN Conference
Realistic simulator improves safety of self-driving vehicles before road testing
Dinesh Manocha, developer of geometric and scientific algorithms, is new ISR affiliate

February 4, 2020


«Previous Story  

 

 

Current Headlines

In Race With Virus, Researchers Speed Development of Medical Equipment

GAMMA Group's Research on Emotional Modeling and Social Robotics Featured in Forbes

Srivastava wins NSF funding for integrated circuit fabrication security

Protection Collections Abound for Local Health Care Workers

New U.S. Patent: Integrated Onboard Chargers for Plug-In Vehicles

Public health planners: Free resources for emergency health clinics

Planning and learning algorithms developed for refinement acting engine

Clark School Engineers Create Solutions for a Crisis

COVID-19 Decision Making Gets a Big Data Boost

Researchers from Poland report results aided by UMD's AIM Lab

 
 
Back to top  
Home Clark School Home UMD Home