SciTransfer
Organization

SMART ROBOTICS BV

Dutch robotics SME specialising in dexterous manipulation, multi-modal perception sensors, and edge AI for industrial logistics automation.

Technology SMEdigitalNLSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
Unique partners
49
What they do

Their core work

Smart Robotics BV is a Dutch robotics SME that develops advanced manipulation and perception systems for logistics and industrial automation. Their core work focuses on robots that handle objects with precision and speed in unpredictable real-world environments — combining impact-aware manipulation, machine learning-based robot control, and high-speed grasping. In parallel, they work on the sensing layer that makes robots context-aware: integrating radar, lidar, and time-of-flight sensors with edge computing and explainable AI for proactive environmental understanding. Their applied focus on semi-structured industrial environments distinguishes them from purely academic robotics research groups.

Core expertise

What they specialise in

Impact-aware dexterous robot manipulationprimary
1 project

The I.AM. project (2020–2024) explicitly targets high-speed impact robotics and dexterous control for dynamic, semi-structured logistics environments.

Machine learning for robot controlprimary
1 project

I.AM. includes robot learning as a named research area, targeting adaptive manipulation through learned rather than hand-coded control policies.

Multi-modal perception sensing (radar, lidar, time-of-flight)primary
1 project

NextPerception (2020–2023) is built around next-generation smart perception combining three distinct sensing modalities for proactive environmental awareness.

Explainable AI for robotic systemsemerging
1 project

NextPerception lists explainable AI as a research area, indicating work on making autonomous robot decisions interpretable and auditable.

Human monitoring and human-robot collaborationsecondary
1 project

NextPerception includes human monitoring as an application domain, pointing to robots that detect and adapt to human presence and behaviour in shared spaces.

Evolution & trajectory

How they've shifted over time

Early focus
Impact-aware robot manipulation
Recent focus
Smart perception and edge AI

Both H2020 projects started in 2020, so there is no genuine temporal evolution within the H2020 period — the early/recent keyword split reflects project order rather than a change in direction over time. That said, the two projects represent complementary technical layers: I.AM. addresses the physical side — how robots move, grasp, and adapt at speed — while NextPerception addresses the sensing and intelligence layer — how robots perceive, process, and explain their environment. Taken together, this suggests a deliberate strategy to develop competence across the full robotics stack, from actuators and control through perception to AI transparency.

Smart Robotics is expanding from physical manipulation expertise toward a complete robotics platform combining multi-modal sensing, distributed intelligence, and explainable AI — positioning them as an increasingly capable system-level partner for industrial automation consortia.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European10 countries collaborated

Smart Robotics has participated exclusively as a consortium partner rather than as a project coordinator, indicating they contribute specialist technology and expertise rather than leading large research programs. Despite only two projects, they engaged with 49 unique partners across 10 countries — an unusually high partner density for an SME, suggesting their technology is valued by multiple large consortia simultaneously. This is a profile typical of a focused technology provider that integrates smoothly into ambitious research programs without needing to manage them.

Smart Robotics has built a network of 49 unique consortium partners spanning 10 countries through just two projects — an exceptionally high partner count per project, reflecting participation in large, multi-stakeholder RIA consortia. No single geographic cluster is evident, suggesting broad European reach rather than a tight regional focus.

Why partner with them

What sets them apart

Smart Robotics combines physical manipulation know-how with multi-modal perception and AI capabilities within a single Dutch SME — a rare pairing that most robotics companies split across separate hardware and software entities. Their applied focus on real logistics environments rather than laboratory settings makes their technology directly transferable to industry without a lengthy translation step. For consortium builders, they offer cross-layer robotics competence and the agility of an SME that larger industrial partners typically cannot replicate at the same technical depth.

Notable projects

Highlights from their portfolio

  • I.AM.
    Tackles one of the hardest open problems in industrial robotics — dexterous, impact-aware manipulation at speed in semi-structured environments — over a four-year RIA timeline with a large multi-country consortium.
  • NextPerception
    Combines three distinct sensing modalities (radar, lidar, time-of-flight) with edge computing and explainable AI into a single next-generation perception platform, covering both technical depth and AI transparency in one project.
Cross-sector capabilities
Manufacturing and industrial automation (robot deployment in logistics and production lines)Transport and warehousing (high-speed autonomous object handling)Health and workplace safety (human monitoring in shared human-robot spaces)Security and surveillance (radar and lidar-based environmental sensing)
Analysis note: Profile is based on only 2 projects, both initiated in the same year (2020), with no EC funding amounts available. The early/recent keyword split reflects project order rather than a genuine temporal evolution. Expertise assessments are indicative; a direct review of Smart Robotics' commercial product portfolio and published deliverables would sharpen the picture significantly.