ReviewNature communications2022
Embodied neuromorphic intelligence.
Review in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 52 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
52 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI in Medical Questionnaires: Scoping ReviewJournal of medical Internet research · 2025Pooled it
- Autonomous robotic operation controlled by wave-based neuromorphic hardware.Nature communications · 2026Article
- How nanophotonics can drive optical computing toward practical applications.Nature nanotechnology · 2026Review
- A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Triple-Mode Ferroelectric Thin-Film Transistor for Hybrid Electrical-Optical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- 2D Materials Powering Neuromorphic Intelligence.Nano-micro letters · 2026Review
- Biomimetic ferroelectric-semiconductor transistor enables neuronal multisensory integration.Nature communications · 2026Article
- Article
- A highly energy-efficient multi-core neuromorphic architecture for training deep spiking neural networks.Nature communications · 2026Article
- Advancing neuroengineering with Neuromorphic Twins.Nature communications · 2026Review
- Polarization-sensitive neuromorphic vision sensing enabled by pristine black arsenic-phosphorus.Light, science & applications · 2026Article
- Organic Electrochemical Transistors for Neuromorphic Devices and Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Bioinspired spiking architecture enables energy constrained touch encoding.Nature communications · 2026Article
- Bio-inspired cognitive robotics vs. embodied AI for socially acceptable, civilized robots.Frontiers in robotics and AI · 2026Article
- Discovery of the reward function for embodied reinforcement learning agents.Nature communications · 2025Article
- Spatially programmable origami networks enable high-density mechanical computing for autonomous robotics.Nature communications · 2025Article
- Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception.Nature communications · 2025Review
- Efficient and robust temporal processing with neural oscillations modulated spiking neural networks.Nature communications · 2025Article
- Route-centric ant-inspired memories enable panoramic route-following in a car-like robot.Nature communications · 2025Article
- Neuromorphic computing for robotic vision: algorithms to hardware advances.Communications engineering · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The design of robots that interact autonomously with the environment and exhibit complex behaviours is an open challenge that can benefit from understanding what makes living beings fit to act in the world. Neuromorphic engineering studies neural computational principles to develop technologies that can provide a computing substrate for building compact and low-power processing systems. We discuss why endowing robots with neuromorphic technologies - from perception to motor control - represents a promising approach for the creation of robots which can seamlessly integrate in society. We present initial attempts in this direction, highlight open challenges, and propose actions required to overcome current limitations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.