Rodrigo Antunes

According to our database, Rodrigo Antunes authored at least 7 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Self-Sensing Soft Finger Produced from Conductive TPU for Adaptive Grasping and Force Sensing Applications.

Rodrigo Antunes, Luan Lang, Martim Lima de Aguiar, Thiago Assis Dutra, Pedro Dinis Gaspar, Nuno José Matos Pereira

Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2025

2024

Fusion of Computer Vision Method and Fin Ray Effect Soft Robotic Gripper for Fruit Harvesting.

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

Proceedings of the 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2024

Design of Fin Ray Effect Soft Robotic Gripper for Improved Mechanical Performance and Adaptability: Numerical Simulations and Experimental Validation.

Rodrigo Antunes, Luan Lang, Martim Lima de Aguiar, Thiago Assis Dutra, Pedro Dinis Gaspar

Proceedings of the 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2024

Enhancing the Performance of Fin Ray Effect Soft Robotic Finger via Computational Design and Simulation.

Rodrigo Antunes, Luan Lang, Martim Lima de Aguiar, Thiago Assis Dutra, Pedro Dinis Gaspar

Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2024

2021

Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators.

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

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2019

FPGA Demonstrator of a Programmable Ultra-Efficient Memristor-Based Machine Learning Inference Accelerator.

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

Proceedings of the 2019 IEEE International Conference on Rebooting Computing, 2019

2018

Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning.

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

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018