no code implementations • 13 Sep 2019 • Jason M. Gregory, Christopher Reardon, Kevin Lee, Geoffrey White, Ki Ng, Caitlyn Sims
Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents.
no code implementations • 13 Sep 2019 • Sarah Al-Hussaini, Jason M. Gregory, Shaurya Shriyam, Satyandra K. Gupta
Human-supervision in multi-agent teams is a critical requirement to ensure that the decision-maker's risk preferences are utilized to assign tasks to robots.
no code implementations • 22 Sep 2022 • Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix Sanchez, John G. Rogers III, Sebastian Scherer
Our short-scale navigation results show that using our learned costmaps leads to overall smoother navigation, and provides the robot with a more fine-grained understanding of the robot-terrain interactions.
no code implementations • 15 Oct 2022 • Jason M. Gregory, Sarah Al-Hussaini, Ali-akbar Agha-mohammadi, Satyandra K. Gupta
Experimental design in field robotics is an adaptive human-in-the-loop decision-making process in which an experimenter learns about system performance and limitations through interactions with a robot in the form of constructed experiments.
no code implementations • 5 Mar 2023 • Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu
To improve the UDA-SS performance, we propose an Informed Domain Adaptation (IDA) model, a self-training framework that mixes the data based on class-level segmentation performance, which aims to emphasize small-region semantics during mixup.
no code implementations • 26 Jun 2023 • Zheng Chen, Durgakant Pushp, Jason M. Gregory, Lantao Liu
We prove that our CALI model -- a pseudo-trilateral game structure is advantageous over existing bilateral game structures.
no code implementations • 18 Mar 2024 • Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian Scherer
The limited sensing resolution of resource-constrained off-road vehicles poses significant challenges towards reliable off-road autonomy.