How to implement low-latency automotive vision with event cameras?
Gehrig, D., Scaramuzza, D. Low-latency automotive vision with event cameras. Nature 629, 1034–1040 (2024). https://doi.org/10.1038/s41586-024-07409-w
Abstract
“The computer vision algorithms used currently in advanced driver assistance systems rely on image-based RGB cameras, leading to a critical bandwidth–latency trade-off for …
How to implement visual odometry with neuromorphic resonator networks?
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, E. Paxon Frady, Friedrich T. Sommer & Yulia Sandamirskaya. Visual odometry with neuromorphic resonator networks. Nature Machine Intelligence, 6, 653–663 (2024). https://doi.org/10.1038/s42256-024-00846-2
Abstract
“Visual odometry (VO) is a method used to …
How to implement neuromorphic visual scene understanding with resonator networks?
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer & E. Paxon Frady. Neuromorphic visual scene understanding with resonator networks. Nature Machine Intelligence, 6, 641–652 (2024). https://doi.org/10.1038/s42256-024-00848-0
Abstract
“Analysing a visual scene …
How to develop embodied neuromorphic artificial intelligence for robotics?
Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique. Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. 2024, arXiv:2404.03325 [cs.RO]
Abstract
“Robotic technologies have been an indispensable part for improving human productivity …
How to design new control methods aimed at closely emulating the motor functions of the brain given the current insights in neuroscience?
Mompó Alepuz A, Papageorgiou D and Tolu S (2024) Brain-inspired biomimetic robot control: a review. Front. Neurorobot. 18:1395617. doi: 10.3389/fnbot.2024.1395617
Abstract
“Complex robotic systems, such as humanoid robot hands, soft robots, and walking robots, pose a challenging control problem …
How to implement fully neuromorphic vision and control for autonomous drone flight?
F. Paredes-Vallés, J. J. Hagenaars, J. Dupeyroux, S. Stroobants, Y. Xu, G. C. H. E. de Croon. Fully neuromorphic vision and control for autonomous drone flight. Science Robotics, 9, eadi0591(2024). DOI:10.1126/scirobotics.adi0591
Editor’s summary
“Despite the ability of visual processing …
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 …
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 …
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 …