TRAIL received a new award from NSF to research Visual Tactile Neural Fields for Active Digital Twin Generation. This is a three-year collaboration with Kostas Daniilidis from the University of Pennsylvania and Monroe Kennedy III from Stanford University.

Congratulations, Pujie and Jun, for having three papers accepted to DARS 2022 between the two of you!

1. Pujie Xin and Philip Dames. “Comparing Stochastic Optimization Methods for Multi-Robot, Multi-Target Tracking.”
2. Pujie Xin and Philip Dames. “Distributed Multiple Hypothesis Tracker for Mobile Sensor Networks.”
3. Jun Chen, Philip Dames, and Shinkyu Park. “Distributed Multi-robot Tracking of Unknown Clustered Targets with Noisy Measurements.”

I received an NSF CAREER Award in June 2022 for my project “Formalizing the Concept of Teamwork in Heterogeneous Multi-Robot Systems.” See also a Temple news article about the project and the official NSF page.

Congratulations to Jun, Deb, and Brandon for having your papers be accepted to ICRA 2021.

We are excited to begin working with our industry partner, ASI Drives, on our project “Local Autonomous Navigation for Materials Handling Ground Vehicles” as part of the Manufacturing PA Innovation Program.

Congratulations, Jun Chen, on presenting your paper “Distributed and Collision-Free Coverage Control of a Team of Mobile Sensors Using the Convex Uncertainty Voronoi Diagram” at ACC 2020.

Congratulations, Jun Chen, on your paper “Collision-Free Distributed Multi-Target Tracking Using Teams of Mobile Robot with Localization Uncertainty” being accepted to IROS 2020.

Congratulations, Jun, on having your first paper, “Multi-Class Target Tracking Using the Semantic PHD Filter,” be accepted at the 2019 International Symposium on Robotics Research (ISRR).

Congratulations, Jun, on having your poster “Distributed Multi-Target Search and Tracking Using a Coordinated Team of Ground and Aerial Robots” be accepted for presentation at the 2019 IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS).

Aidan’s work on navigation for autonomous robots was featured on the Temple College of Engineering Instagram page.