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; et al. (ICRC, 2018)

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; et al. (ICRC, 2019)

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; et al. (ASP-DAC, 2021)

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 (ICARSC, 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 (MESA, 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 003; Pedro Dinis Gaspar (MESA, 2024)

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 003 (ICARSC, 2025)