Search Results for author: Jason M. Gregory

Found 7 papers, 0 papers with code

Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping

no code implementations18 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.

Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction

no code implementations26 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.

Autonomous Navigation Data Augmentation +1

IDA: Informed Domain Adaptive Semantic Segmentation

no code implementations5 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.

Data Augmentation Domain Adaptation +2

Taxonomy of A Decision Support System for Adaptive Experimental Design in Field Robotics

no code implementations15 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.

Decision Making Experimental Design

How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability

no code implementations22 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.

Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control

no code implementations13 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.

An Alert-Generation Framework for Improving Resiliency in Human-Supervised, Multi-Agent Teams

no code implementations13 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.

Decision Making Humanitarian

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