RoboSens

5–7 October 2027, Barcelona

Engineering Robotic
Perception

Robotics is moving rapidly from controlled environments into the real world; and the ability for robotic technology to sense, interpret and respond to their environment is vital to effective robotics deployment.

RoboSens 2027 brings together engineers, researchers, technology developers and innovators who are building the sensing and perception systems that make intelligent robotics possible.

Register Interest
Key Themes

5–7 October 2027, Barcelona

Engineering Robotic
Perception

Robotics is moving rapidly from controlled environments into the real world; and the ability for robotic technology to sense, interpret and respond to their environment is vital to effective robotics deployment.

RoboSens 2027 brings together engineers, researchers, technology developers and innovators who are building the sensing and perception systems that make intelligent robotics possible.

Register Interest
Key Themes

Speak at RoboSens Europe 2027

Days
Hours
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Call for papers is now CLOSED!

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Advisory Board

Robin Jenkin

Robin Jenkin

NVIDIA
Shaheen Amanullah

Shaheen Amanullah

onsemi
Matt Daley

Matt Daley

rFpro
Neil Huntingdon

Neil Huntingdon

Noelte Group
Dinesh Balasubramaniam

Dinesh Balasubramaniam

indie
Ingo Keller

Ingo Keller

The National Robotarium
Charles Altuzarra

Charles Altuzarra

MetaHelios
Amit Kumar

Amit Kumar

Cadence Design Systems
Tom Clancy

Tom Clancy

VersaTile Automation

A New Event for Robotics Engineers

Launching in Barcelona 5–7 October 2027 alongside Sense Media’s flagship automotive events, AutoSens and InCabin, RoboSens cuts through the hype to focus on the engineering at the foundation of innovation, bringing three trailblazing technical communities together under one roof.

The programme will span the complete perception stack including sensor fusion, localisation and mapping, spatial intelligence, simulation and testing, robotics architectures, World Foundation Models and physical AI, alongside the practical challenges of taking these technologies from research and prototype through to real-world deployment and scaled manufacturing.

Sensing

Sensing

Explore the latest developments across LiDAR, imaging, radar, ToF, neuromorphic sensing, IMUs, tactile and force sensors, audio and positioning technologies.
Architecture

Architecture

See how engineers are combining sensors, compute and intelligence through multimodal architectures, sensor fusion, localisation, mapping and spatial intelligence.
Deployment

Deployment

Understand the practical engineering challenges of taking robotic systems from research and prototype through to real-world deployment and scaled manufacturing.
Community

Community

Hear directly from engineers across industry, academia, established technology providers and startups, with technical insight rather than marketing hype.
Ecosystem

Ecosystem

Co-located with AutoSens and InCabin, RoboSens connects robotics engineers with the wider sensing ecosystem and technologies already advancing automotive perception.

Key Themes

RoboSens is the home of technical, practical and forward-looking knowledge exchange, exploring how advances in sensing and perception are enabling the next generation of intelligent robots.

Key topics include:

  • Sensor Technologies & Innovation – The latest developments in cameras, LiDAR, radar, depth sensing and emerging technologies
  • Perception & Sensor Fusion – Combining multiple data sources to create robust, reliable perception
  • AI & Machine Learning – Computer vision, foundation models, embodied AI and intelligent perception
  • 3D & Spatial Perception – Mapping, localisation, scene understanding and spatial intelligence
  • Simulation & Synthetic Data – Training, testing and validating perception systems in virtual environments
  • Robotics Compute – Hardware, edge AI and the processing architectures powering real-time perception
  • Safety, Validation & Reliability – Ensuring perception systems perform reliably in complex real-world environments
  • Real-World Deployment – Practical challenges, lessons learned and case studies from robotics applications
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