Workshop on Neuromorphic Perception for Real World Robotics

In conjunction with IROS 2025

Hanghzhou

October 24th in the morning, Room 102A

Workshop recordings: https://www.youtube.com/playlist?list=PL41Hj1v8NO3NjD6K8s-GAmypvUM41VpSS

Pictures: https://photos.app.goo.gl/km9hLsyG8rgrpNqQ6

Scope and Motivation

Neuromorphic perception offers low-power and low-latency with sparse encoding and inherent information compression. Such perception for robots can potentially increase reactivity in an unconstrained and dynamic environment (i.e. avoid obstacles and grasp dynamic objects), improve mobility by reducing power requirements and reliance on off-board GPU servers, and integrate with biologically inspired artificial intelligence. In the visual domain, event-based sensors facilitate the accurate state estimation of fast-moving robots and objects by eliminating motion blur and data redundancy, thereby enhancing precision during actions. The high-dynamic range increases the robustness and reliability of robots in challenging lighting conditions. The reduction of data in a stationary environment, eliminates the need for computational resources and battery power, further enhancing the capabilities of this technology.

This workshop focuses on real-world applications and demonstrations of event-based cameras and neuromorphic sensors, including perception pipelines and data processing, that go beyond those solely tested in simulated environments. The potential of neuromorphic sensors in robotics has motivated a growing body of literature for solutions to robotic problems, but the amount of work that actually demonstrates the advantages of neuromorphic perception over traditional perception in real-world scenarios still needs to be shown. We encourage the participation and discussion of real-world robotic implementations, task-dependent applications, hybrid (neuromorphic and traditional sensors as well as comparisons between such sensors) systems, and online and real-time algorithms shown in real-world conditions. During the workshop we will discuss the current experimental trends, difficulties, and general solutions for achieving real-world neuromorphic perception for robots.

Call for Contributions

Papers

Full-length conference papers which got accepted at IROS or another related conference/journal. Please use this form to submit your paper and proof of acceptance.

Abstracts

2–4 pages extended abstracts (exclusive references). Please submit your abstract via OpenReview.

Demos

A video of the demo with a 1-page description (Add a link to the video in your description). Please submit your demo via OpenReview.

Abstracts and Demos will be peer-reviewed to ensure a quality standard.

Important note regarding submissions via OpenReview: New profiles created without an institutional email will go through a moderation process that can take up to two weeks. New profiles created with an institutional email will be activated automatically.

We will have a best paper award supported by the IEEE RAS Technical Committee on Computer and Robot Vision.

Topics

This workshop aims to foster the growth of event-based research by gathering researchers in the field and enhancing communication between academia and industry, with the goal of discovering new, bleeding-edge neuromorphic technologies.