Active Projects

This page lists all ongoing and past projects funded by Autonomous System IRT seed grants. 

Ongoing Projects

2018 Phase I Projects

Autonomous Distributed Computation in Honeybee Swarms
PI: Orit Peleg

Autonomous Virtual Assistant for Crewed Space Missions
±Ê±õ²õ:ÌýTorin Clark, Nisar Ahmed, Dan Szafir

Collaboration Initiation: Formation Control in Chaotic Systems
±Ê±õ²õ:ÌýNatasha Bosanac, Xudong Chen

Collaboration Initiation: Secure Ensemble Control
±Ê±õ²õ:ÌýXudong Chen, Eric Wustrow, Fabio Somenzi

Detection and Localization of Methane Sources Using Teams of Autonomous UAS
±Ê±õ²õ:ÌýSean Humbert, John Crimaldi, Michael Hannigan, Chris Heckman, Brian Argrow

In Vivo Robot Localization
±Ê±õ²õ:ÌýMark Rentschler, Chris Heckman

Natural Language Constraint-Based Learning from Demonstration
±Ê±õ:ÌýBrad Hayes

Systematic and Integrated High-Assurance Autonomous Systems
±Ê±õ²õ:ÌýSriram Sankaranarayanan, Chris Heckman, Nisar Ahmed, John Hauser, Ashutosh Trivedi

Temporal-Logic Based Reinforcement Learning
±Ê±õ²õ:ÌýAshutosh Trivedi, Pavol Cerny, Fabio Somenzi

2018 Phase II Projects

Robotic Chemists: Automating the Synthesis of Multifunctional Materials
±Ê±õ²õ:ÌýDaniel Szafir, Carson Bruns

Automated Fabrication Tools for Robots and Electromechanical Systems
±Ê±õ²õ:ÌýRobert MacCurdy, Chris Keplinger, Greg Whiting

Mobile Sensing Using UAVs to Enable Accurate Wind Field Estimation Across Wind Farms: Feasibility Study
±Ê±õ²õ:ÌýLucy Pao, Chris Bay, Cory Dixon, Ute Herzfeld

Super-Resolution Applied to Detection and Identification of Autonomous System
±Ê±õ²õ:ÌýLijun Chen, Eugene Liu

Algorithmic Challenges in Multi-Agent Reinforcement Learning for Autonomous Systems
±Ê±õ²õ:ÌýLigun Chen, Chris Heckman

Simultaneous Learning of Objects and Grasp Models for Shared Autonomy Through Novel Tactile Sensing Technology
±Ê±õ²õ:ÌýBrad Hayes, Chris Heckman

Guiding Autonomous Systems by Real-Time Characterization of Spatial Field Structures
±Ê±õ²õ:ÌýUte Herzfeld, Brian Argrow, Cory Dixon, Lucy Pao