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05/06/2023
Autonomous Navigation for Robot-assisted Intraluminal and Endovascular Procedures: A Systematic Review
Increased demand for less invasive procedures has accelerated the adopti...
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03/06/2023
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation
The field of robotic Flexible Endoscopes (FEs) has progressed significan...
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02/23/2023
Generalization of Auto-Regressive Hidden Markov Models to Non-Linear Dynamics and Non-Euclidean Observation Space
Latent variable models are widely used to perform unsupervised segmentat...
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02/21/2023
Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition
Automatic recognition of fine-grained surgical activities, called steps,...
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01/18/2023
Logic programming for deliberative robotic task planning
Over the last decade, the use of robots in production and daily life has...
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08/02/2022
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods
Causal relationships are commonly examined in manufacturing processes to...
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06/30/2022
Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study
Flexible endoscopes for colonoscopy present several limitations due to t...
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03/10/2022
Deliberation in autonomous robotic surgery: a framework for handling anatomical uncertainty
Autonomous robotic surgery requires deliberation, i.e. the ability to pl...
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10/01/2021
Learning from Demonstrations for Autonomous Soft-tissue Retraction
The current research focus in Robot-Assisted Minimally Invasive Surgery ...
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09/06/2021
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery
Deep Reinforcement Learning (DRL) is a viable solution for automating re...
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06/14/2021
Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly
Despite their contributions to the financial efficiency and environmenta...
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05/18/2021
Unsupervised identification of surgical robotic actions from small non homogeneous datasets
Robot-assisted surgery is an established clinical practice. The automati...
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02/24/2021
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures
Purpose: Automatic segmentation and classification of surgical activity ...
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02/08/2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks
Deep Reinforcement Learning (DRL) is emerging as a promising approach to...
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07/16/2020
Improving rigid 3D calibration for robotic surgery
Autonomy is the frontier of research in robotic surgery and its aim is t...
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07/01/2020
Dynamic Movement Primitives: Volumetric Obstacle Avoidance Using Dynamic Potential Functions
Obstacle avoidance for DMPs is still a challenging problem. In our previ...
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04/19/2020
Autonomous task planning and situation awareness in robotic surgery
The use of robots in minimally invasive surgery has improved the quality...
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08/28/2019