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09/21/2023
Generating robotic elliptical excisions with human-like tool-tissue interactions
In surgery, the application of appropriate force levels is critical for ...
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09/21/2023
Rendering stable features improves sampling-based localisation with Neural radiance fields
Neural radiance fields (NeRFs) are a powerful tool for implicit scene re...
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07/07/2023
Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations
Ultrasound (US) imaging is widely used for biometric measurement and dia...
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06/15/2023
Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems
This work introduces a flexible architecture for real-time occupancy for...
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03/06/2023
Social Cue Analysis using Transfer Entropy
Robots that work close to humans need to understand and use social cues ...
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10/27/2022
Adapting Neural Models with Sequential Monte Carlo Dropout
The ability to adapt to changing environments and settings is essential ...
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09/24/2022
Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method
Dynamic Movement Primitives (DMPs) offer great versatility for encoding,...
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09/13/2021
Vision-based system identification and 3D keypoint discovery using dynamics constraints
This paper introduces V-SysId, a novel method that enables simultaneous ...
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05/02/2021
Learning data association without data association: An EM approach to neural assignment prediction
Data association is a fundamental component of effective multi-object tr...
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11/30/2020
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates
Model-free reinforcement learning (RL) is a powerful tool to learn a bro...
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08/18/2020
Residual Learning from Demonstration
Contacts and friction are inherent to nearly all robotic manipulation ta...
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08/03/2020
Action sequencing using visual permutations
Humans can easily reason about the sequence of high level actions needed...
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06/02/2020
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces
Learning low-dimensional latent state space dynamics models has been a p...
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02/04/2020
Learning robotic ultrasound scanning using probabilistic temporal ranking
This paper addresses a common class of problems where a robot learns to ...
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01/30/2020
Black-Box Saliency Map Generation Using Bayesian Optimisation
Saliency maps are often used in computer vision to provide intuitive int...
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11/29/2019
Learning with Modular Representations for Long-Term Multi-Agent Motion Predictions
Context plays a significant role in the generation of motion for dynamic...
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11/29/2019
Learning Modular Representations for Long-Term Multi-Agent Motion Predictions
Context plays a significant role in the generation of motion for dynamic...
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09/16/2019
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification
Precision cutting of soft-tissue remains a challenging problem in roboti...
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07/31/2019
Disentangled Relational Representations for Explaining and Learning from Demonstration
Learning from demonstration is an effective method for human users to in...
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07/18/2019
Composing Diverse Policies for Temporally Extended Tasks
Temporally extended and sequenced robot motion tasks are often character...
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07/15/2019
Vid2Param: Online system identification from video for robotics applications
Robots performing tasks in dynamic environments would benefit greatly fr...
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07/09/2019
Hybrid system identification using switching density networks
Behaviour cloning is a commonly used strategy for imitation learning and...
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05/27/2019
Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video
We aim to perform unsupervised discovery of objects and their states suc...
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04/23/2019
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms
Convolutional Neural Networks (CNNs) have been used successfully across ...
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03/06/2019
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis
Recent work has shown significant progress in the direction of synthetic...
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02/27/2019
From explanation to synthesis: Compositional program induction for learning from demonstration
Hybrid systems are a compact and natural mechanism with which to address...
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06/19/2017
User-driven mobile robot storyboarding: Learning image interest and saliency from pairwise image comparisons
This paper describes a novel storyboarding scheme that uses a model trai...
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05/20/2014
