Embodied Neuromorphic Artificial Intelligence for Robotics:
Perspectives, Challenges, and Research Development Stack

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack

4 April 2024

Rachmad Vidya Wicaksana Putra

Alberto Marchisio

Muhammad Shafique

Papers citing "Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack"

10 / 10 papers shown

Title
SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents Avaneesh Devkota Rachmad Vidya Wicaksana Putra Muhammad Shafique 25 0 0 18 Apr 2025
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems Rachmad Vidya Wicaksana Putra Pasindu Wickramasinghe Muhammad Shafique 50 0 0 01 Apr 2025
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems Iqra Bano Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique 44 1 0 07 Jul 2024
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique 31 6 0 14 Apr 2024
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data Iqra Bano Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique 42 3 0 04 Apr 2024
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Autonomous Agents Rachmad Vidya Wicaksana Putra Muhammad Shafique 30 0 0 17 Feb 2024
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents Rachmad Vidya Wicaksana Putra Muhammad Shafique 42 12 0 03 Mar 2023
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Muhammad Shafique AAML 40 5 0 11 Oct 2022
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents Rachmad Vidya Wicaksana Putra Muhammad Shafique 26 16 0 24 May 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks Byunggook Na J. Mok Seongsik Park Dongjin Lee Hyeokjun Choe Sungroh Yoon 45 63 0 30 Jan 2022