Publications (6)
Safe Payload Transfer with Ship-Mounted Cranes: A Robust Model Predictive Control Approach
Ersin Das, William A. Welch, Patrick Spieler +14
Ensuring safe real-time control of ship-mounted cranes in unstructured transportation environments requires handling multiple safety constraints while maintaining effective payload…
COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation
Aurelio Noca, Xianmei Lei, Jonathan Becktor +6
Autonomous off-road navigation faces challenges due to diverse, unstructured environments, requiring robust perception with both geometric and semantic understanding. However, scar…
Risk-Guided Diffusion: Toward Deploying Robot Foundation Models in Space, Where Failure Is Not An Option
Rohan Thakker, Adarsh Patnaik, Vince Kurtz +10
Safe, reliable navigation in extreme, unfamiliar terrain is required for future robotic space exploration missions. Recent generative-AI methods learn semantically aware navigation…
Visual Perception Engine: Fast and Flexible Multi-Head Inference for Robotic Vision Tasks
Jakub Åucki, Jonathan Becktor, Georgios Georgakis +2
Deploying multiple machine learning models on resource-constrained robotic platforms for different perception tasks often results in redundant computations, large memory footprints…
Enabling Novel Mission Operations and Interactions with ROSA: The Robot Operating System Agent
Rob Royce, Marcel Kaufmann, Jonathan Becktor +6
The advancement of robotic systems has revolutionized numerous industries, yet their operation often demands specialized technical knowledge, limiting accessibility for non-expert…
Robust Uncertainty Estimation for Classification of Maritime Objects
Jonathan Becktor, Frederik Scholler, Evangelos Boukas +1
We explore the use of uncertainty estimation in the maritime domain, showing the efficacy on toy datasets (CIFAR10) and proving it on an in-house dataset, SHIPS. We present a metho…