In surgery, the application of appropriate force levels is critical for ...
Neural radiance fields (NeRFs) are a powerful tool for implicit scene
re...
Ultrasound (US) imaging is widely used for biometric measurement and
dia...
This work introduces a flexible architecture for real-time occupancy
for...
Robots that work close to humans need to understand and use social cues ...
The ability to adapt to changing environments and settings is essential ...
Dynamic Movement Primitives (DMPs) offer great versatility for encoding,...
This paper introduces V-SysId, a novel method that enables simultaneous
...
Data association is a fundamental component of effective multi-object
tr...
Model-free reinforcement learning (RL) is a powerful tool to learn a bro...
Contacts and friction are inherent to nearly all robotic manipulation ta...
Humans can easily reason about the sequence of high level actions needed...
Learning low-dimensional latent state space dynamics models has been a
p...
This paper addresses a common class of problems where a robot learns to
...
Saliency maps are often used in computer vision to provide intuitive
int...
Context plays a significant role in the generation of motion for dynamic...
Context plays a significant role in the generation of motion for dynamic...
Precision cutting of soft-tissue remains a challenging problem in roboti...
Learning from demonstration is an effective method for human users to
in...
Temporally extended and sequenced robot motion tasks are often character...
Robots performing tasks in dynamic environments would benefit greatly fr...
Behaviour cloning is a commonly used strategy for imitation learning and...
We aim to perform unsupervised discovery of objects and their states suc...
Convolutional Neural Networks (CNNs) have been used successfully across ...
Recent work has shown significant progress in the direction of synthetic...
Hybrid systems are a compact and natural mechanism with which to address...
This paper describes a novel storyboarding scheme that uses a model trai...
Traditional approaches to upper body pose estimation using monocular vis...