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.
Advisory Board
Robin Jenkin
Shaheen Amanullah
Matt Daley
Neil Huntingdon
Dinesh Balasubramaniam
Ingo Keller
Charles Altuzarra
Amit Kumar
Tom Clancy
A New Event for Robotics Engineers
Engineering Perception for Robotics
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.
Partner Companies
Latest News
Scaling Automotive Vision for Robotics: Why We Don’t Need to Reinvent Camera Benchmarking
Discover how automotive camera benchmarking can help robotics teams improve vision testing, with insights from Shaheen Amanullah at onsemi.
Sensing
Architecture
Deployment
Community
Ecosystem
Featured Speakers
Amit Kumar
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
5–7 October 2027, Barcelona
Register Your Interest for RoboSens
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