54 citations · 211 across the 34 of their papers we have counts for
5 papers · 1 filter
Generating robotic elliptical excisions with human-like tool-tissue interactions
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
In surgery, the application of appropriate force levels is critical for the success and safety of a given procedure. While many studies are focused on measuring in situ forces, lit…
Rendering Stable Features Improves Sampling-Based Localisation with Neural Radiance Fields
Boxuan Zhang, Lindsay Kleeman, Michael Burke
Neural radiance fields (NeRFs) are a powerful tool for implicit scene representations, allowing for differentiable rendering and the ability to make predictions about unseen viewpo…
Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations
Zhongliang Jiang, Yuan Bi, Mingchuan Zhou +3
Ultrasound (US) imaging is widely used for biometric measurement and diagnosis of internal organs due to the advantages of being real-time and radiation-free. However, due to inter…
Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems
Bryce Ferenczi, Michael Burke, Tom Drummond
This work introduces a novel and adaptable architecture designed for real-time occupancy forecasting that outperforms existing state-of-the-art models on the Waymo Open Motion Data…
Social Cue Detection and Analysis Using Transfer Entropy
Haoyang Jiang, Elizabeth A. Croft, Michael G. Burke
Robots that work close to humans need to understand and use social cues to act in a socially acceptable manner. Social cues are a form of communication (i.e., information flow) bet…