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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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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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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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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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11/03/2020
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations
We present an introspective framework inspired by the process of how hum...
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01/22/2020
