4 papers
Learning Object-Centric Spatial Reasoning for Sequential Manipulation in Cluttered Environments
Chrisantus Eze, Ryan C Julian, Christopher Crick
Robotic manipulation in cluttered environments presents a critical challenge for automation. Recent large-scale, end-to-end models demonstrate impressive capabilities but often lac…
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
Chrisantus Eze, Christopher Crick
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain. Recent works have focused on source-free UDA, where only…
Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation
Chrisantus Eze, Christopher Crick
Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased datasets. While curated datasets can help, challenges remain in generalizability and real-wor…
Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems Approach
Habib Boloorchi Tabrizi, Christopher Crick
In this study, we address the critical challenge of balancing speed and accuracy while maintaining interpretablity in visual odometry (VO) systems, a pivotal aspect in the field of…