How to enable robots to avoid obstacles with ease inspired by insect brains?

Schoepe, T., Janotte, E., Milde, M.B. et al. Finding the gap: neuromorphic motion-vision in dense environments. Nat Commun 15, 817 (2024). https://doi.org/10.1038/s41467-024-45063-y

Abstract
“Animals have evolved mechanisms to travel safely and efficiently within different habitats. On a journey in

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How to build biomimetic olfactory chips based on large-scale monolithically integrated nanotube sensor arrays?

Wang, C., Chen, Z., Chan, C.L.J. et al. Biomimetic olfactory chips based on large-scale monolithically integrated nanotube sensor arrays. Nat Electron (2024). https://doi.org/10.1038/s41928-023-01107-7

Abstract
“Human olfactory sensors have a large variety of receptor cells that generate signature responses to …

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How to implement fully neuromorphic vision and control for autonomous drone flight?

Federico Paredes-Vallés, Jesse Hagenaars, Julien Dupeyroux, Stein Stroobants, Yingfu Xu, Guido de Croon. Fully neuromorphic vision and control for autonomous drone flight. arXiv:2303.08778 [cs.RO]

Abstract

Biological sensing and processing is asynchronous and sparse, leading to low-latency and energy-efficient

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When neuro-robots go wrong?

Khan, Muhammad Salar, and James Leland Olds. “When Neuro-robots Go Wrong: A Review.” Frontiers in Neurorobotics, Volume 17,2023

Abstract

Neuro-robots are a class of autonomous machines that, in their architecture, mimic aspects of the human brain and

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How to control a simulated 7-DOF arm using a fully spiking neural network running on Intel’s Loihi chip?

Travis DeWolf, Kinjal Patel, Pawel Jaworski, Roxana Leontie, Joseph Hays and Chris Eliasmith. Neuromorphic control of a simulated 7-DOF arm using Loihi. Neuromorphic Computing and Engineering, 2023. 

Abstract
“In this paper, we present a fully spiking neural network running

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How to implement autonomous localization, navigation, and control of UAVs using fully spiking neural networks?

B. Komer, P. Jaworski, S. Harbour, C. Eliasmith and T. DeWolf, “BatSLAM: Neuromorphic Spatial Reasoning in 3D Environments,” 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), 2022, pp. 1-8, doi: 10.1109/DASC55683.2022.9925773.

Abstract:
“Unmanned aerial vehicles (UAVs) need more …

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How to build brain-based devices for the study of nervous systems and the development of intelligent machines?

Krichmar, Jeffrey L, and Gerald M Edelman. “Brain-based devices for the study of nervous systems and the development of intelligent machines.” Artificial life vol. 11,1-2 (2005): 63-77. doi:10.1162/1064546053278946

Abstract
The simultaneous study of brain function at all levels of

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How to build a neuromorphic visual odometry for robotic tasks with strict low-latency, -memory, and -energy requirements?

Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, E. Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya. Neuromorphic Visual Odometry with Resonator Networks. arXiv:2209.02000 [cs.RO], 2022. 

Abstract

“Autonomous agents require self-localization to navigate in unknown environments. They can use Visual …

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How to detect lane using spiking neural network on Loihi neuromorphic processor?

Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique. LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. arXiv:2208.02253 [cs.NE], 2022. 

Abstract

“Autonomous Driving (AD) related features represent important elements for the next generation of …

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How to enable robotics with neuromorphic computing hardware and neural architectures?

Yulia Sandamirskaya and Mohsen Kaboli and Jorg Conradt and Tansu Celikel. Neuromorphic computing hardware and neural architectures for robotics. Science Robotics. 2022, 7(67). DOI: 10.1126/scirobotics.abl8419

Abstract
Neuromorphic hardware enables fast and power-efficient neural network–based artificial intelligence that is

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