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Ameya Pore
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2020 – today
- 2024
- [b1]Ameya Pore:
Surgical subtask automation for intraluminal procedures using deep reinforcement learning. Polytechnic University of Catalonia, Spain, 2024 - [j2]Di Wu
, Renchi Zhang, Ameya Pore
A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going. Biomed. Signal Process. Control. 93: 106179 (2024) - [i9]Ameya Pore, Riccardo Muradore, Diego Dall'Alba:
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction. CoRR abs/2407.00633 (2024) - 2023
- [j1]Ameya Pore
Autonomous Navigation for Robot-Assisted Intraluminal and Endovascular Procedures: A Systematic Review. IEEE Trans. Robotics 39(4): 2529-2548 (2023) - [c8]Davide Corsi, Luca Marzari, Ameya Pore
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. IROS 2023: 10289-10294 - [i8]Davide Corsi, Luca Marzari, Ameya Pore
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. CoRR abs/2303.03207 (2023) - [i7]Ameya Pore
Autonomous Navigation for Robot-assisted Intraluminal and Endovascular Procedures: A Systematic Review. CoRR abs/2305.04027 (2023) - 2022
- [c7]Ameya Pore
Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study. IROS 2022: 9582-9588 - [i6]Ameya Pore
Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study. CoRR abs/2206.15086 (2022) - 2021
- [c6]Luca Marzari
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. ICAR 2021: 640-645 - [c5]Nikos Pitsillos
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations. ICDL 2021: 1-7 - [c4]Ameya Pore
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. IROS 2021: 4025-4031 - [c3]Ameya Pore
Learning from Demonstrations for Autonomous Soft-tissue Retraction *. ISMR 2021: 1-7 - [i5]Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. CoRR abs/2102.04022 (2021) - [i4]Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall'Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini:
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. CoRR abs/2109.02323 (2021) - [i3]Ameya Pore, Eleonora Tagliabue, Marco Piccinelli, Diego Dall'Alba, Alicia Casals, Paolo Fiorini:
Learning from Demonstrations for Autonomous Soft-tissue Retraction. CoRR abs/2110.00336 (2021) - 2020
- [c2]Ameya Pore
On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning. ICRA 2020: 7477-7483 - [c1]Eleonora Tagliabue, Ameya Pore
Soft Tissue Simulation Environment to Learn Manipulation Tasks in Autonomous Robotic Surgery*. IROS 2020: 3261-3266 - [i2]Ameya Pore, Gerardo Aragon-Camarasa:
On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning. CoRR abs/2001.07973 (2020) - [i1]Nikos Pitsillos, Ameya Pore, Bjørn Sand Jensen, Gerardo Aragon-Camarasa:
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations. CoRR abs/2011.01880 (2020)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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