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Rodrigo Antunes
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2020 – today
- 2024
- [c6]Rodrigo Antunes, Luan Lang, Martim L. Aguiar, Thiago Assis Dutra, Pedro Dinis Gaspar:
Enhancing the Performance of Fin Ray Effect Soft Robotic Finger via Computational Design and Simulation. ICARSC 2024: 189-194 - [c5]Rodrigo Antunes, Luan Lang, Martim Lima de Aguiar, Thiago Assis Dutra, Pedro Dinis Gaspar:
Design of Fin Ray Effect Soft Robotic Gripper for Improved Mechanical Performance and Adaptability: Numerical Simulations and Experimental Validation. MESA 2024: 1-6 - [c4]Estêvão Vale Filho, David Alves, Ana Marques Alves, Enrico Zardini, Vinícius Cordeiro, Matilde Galvão, Martim Lima de Aguiar, Rodrigo Antunes, Nuno Pereira, Pedro Dinis Gaspar:
Fusion of Computer Vision Method and Fin Ray Effect Soft Robotic Gripper for Fruit Harvesting. MESA 2024: 1-8 - 2021
- [c3]Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic:
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC 2021: 372-377
2010 – 2019
- 2019
- [c2]Martin Foltin, Glaucimar Aguiar, Rodrigo Antunes, Plínio Silveira, Gustavo Knuppe, Joao Ambrosi, Soumitra Chatterjee, Jitendra Onkar Kolhe, Sunil Lakshiminarashimha, Dejan S. Milojicic, John Paul Strachan, Craig Warner, Amit Sharma, Eddie Lee, Sai Rahul Chalamalasetti, Chris Brueggen, Charles Williams, Nathaniel Jansen, Felipe Saenz, Luis Federico Li:
FPGA Demonstrator of a Programmable Ultra-Efficient Memristor-Based Machine Learning Inference Accelerator. ICRC 2019: 44-53 - 2018
- [c1]Joao Ambrosi, Aayush Ankit, Rodrigo Antunes, Sai Rahul Chalamalasetti, Soumitra Chatterjee, Izzat El Hajj, Guilherme Fachini, Paolo Faraboschi, Martin Foltin, Sitao Huang, Wen-Mei Hwu, Gustavo Knuppe, Sunil Vishwanathpur Lakshminarasimha, Dejan S. Milojicic, Mohan Parthasarathy, Filipe Ribeiro, Lucas Rosa, Kaushik Roy, Plínio Silveira, John Paul Strachan:
Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC 2018: 1-13
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last updated on 2024-10-25 21:14 CEST by the dblp team
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