Robotae Ltd
Robotae Ltd is a Cambridge, UK robotics and mechatronics consultancy founded in 2014 by Dr Kevin Rathbone, supporting new product development.
Robotae Ltd is a technology design and development consultancy specialising in robotics and mechatronics — machines and devices that detect and respond intelligently to changes in their environment. The company was founded in 2014 by Dr Kevin Rathbone and is registered in England and Wales (company number 8891576), with offices at the St John's Innovation Centre, Cowley Road, Cambridge.
Dr Rathbone holds a Cambridge degree in mathematics, a postgraduate diploma in computer science, and a PhD in robotics and artificial intelligence, followed by postdoctoral work designing and building novel mobile robots including ground-based and airborne platforms. His prior experience includes senior roles at Cambridge Consultants and The Automation Partnership (now TAP Biosystems), giving him broad exposure to commercial product development across multiple technology sectors.
Robotae supports companies of all sizes — from startups to large enterprises — looking to incorporate robotics into new product development. The company operates with a network of associates: independent consultants and small consultancies in the Cambridge area who can be assembled quickly to provide exactly the right skillsets for each project. This flexible model allows Robotae to scale teams for complex engagements without maintaining a large permanent headcount.
Service areas include system architecture, consultancy, rapid prototyping, and full system development. Representative projects include development of a gonioreflectometer for Change of Paradigm, technical reviewing for the CARV skiing wearable, rapid development of a demonstration mobile robot, and electronics architecture for Kokoon's sleep-sensing wireless headphones. These engagements span industrial sensing, consumer wearables, and service robotics, illustrating Robotae's broad mechatronics competency.
The firm is positioned in Cambridge's deep technology ecosystem, which provides access to university research partnerships, specialist talent, and adjacent engineering consultancies. Robotae works with clients across the UK and internationally.
Primary type & automation activities this supplier delivers:
Contact Robotae Ltd
WEBSITE
https://robotae.comPHONE
+44 1223 422095HEADQUARTERS
United Kingdom
Company Facts
Founded
2014
Primary Role
System Integrator
Company Size
-
Primary Region
Europe
Annual Sales
-
Funding Stage
-
Funding Total
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Nucleus Demonstrates Humanoid Robot Performing Factory Tasks with 60% Autonomy
Nucleus has released nearly two hours of uncut footage showcasing its humanoid robot performing factory tasks, revealing a reliance on human assistance. The demonstration, shared by CEO Melvin Schwarz on October 1, indicated that the robot operated approximately 60% autonomously and 40% through teleoperation, although the method for calculating these percentages was not disclosed. This demonstration is significant as it highlights the ongoing challenge of maintaining useful robotic work over extended periods. Nucleus aims to prove that its robots can effectively integrate into industrial workflows, running shifts of four to six hours while completing tasks from start to finish, albeit with necessary human intervention. Looking ahead, Nucleus is focused on refining its AI systems through real-world applications, capturing data from both successful operations and instances requiring human guidance. This feedback loop is essential for improving the robot's capabilities, particularly in adapting to varying factory conditions and ensuring consistent performance across different tasks.
AI and Robotics
Podcast Discusses Smarter Predictive Asset Management and Its Operational Benefits
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Sponsored
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Sponsored Content VicOne
Dürr Introduces Four New EcoRS Generation 2 Robots for Automotive Paint Shops
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Physical AI Requires a Fourth Verb: Verification for Production Accuracy
Physical AI is commonly defined as machines that perceive, reason, and act in the physical world. However, this definition lacks a crucial fourth verb: verify. In production environments, acting does not equate to producing conforming parts, as demonstrated by a humanoid robot at BMW's Spartanburg plant, which successfully placed over 90,000 components with a 99% success rate per shift. The importance of verification lies in ensuring that produced parts meet specified tolerances. While the robot's execution rate is impressive, it does not guarantee that the assemblies are within acceptable limits due to various factors such as fixture wear and thermal drift. The introduction of in-line dimensional inspection has made it feasible to measure critical characteristics and compare conformance rates against reported success rates, highlighting the need for this fourth verb in the definition of Physical AI. Going forward, the industry must focus on integrating verification into the acceptance criteria for Physical AI systems. This shift will enhance the reliability of production processes, ensuring that machines not only report their actions but also the quality of their outputs. No further timeline was disclosed at the time of publication.
Factory / Digital Transformation
The Challenge of Implementing Spatial and Agentic AI in Smart Factories
Smart factories are equipped with advanced technologies like artificial intelligence, spatial computing, and autonomous robotics, yet many manufacturers are not fully leveraging these capabilities. A 2025 State of AI in Manufacturing Survey reveals that while over 77% of manufacturers have adopted AI, 56% are uncertain about their systems' readiness for complete integration. This indicates that the gap between technology adoption and operational value stems from implementation challenges rather than technological limitations. Spatial AI enables machines to understand and act within three-dimensional environments, while agentic AI allows systems to autonomously pursue goals across workflows. This combination could transform factory operations into dynamic, self-correcting systems. However, the effectiveness of these technologies is hindered by fragmented data ecosystems, where inconsistent and poorly contextualized data leads to misleading AI outputs. The need for a unified data layer is critical for effective smart factory operations. Looking ahead, manufacturers must prioritize the integration of legacy systems and establish shared data standards to fully realize the potential of smart factories. A Deloitte survey indicates that 41% of manufacturing executives plan to invest in automation hardware in the next two years, but these investments will only yield benefits if the underlying data infrastructure is robust enough to support them. No further timeline was disclosed at the time of publication.
Factory / Analytics
U.S. Army Trials Military Humanoids Amid Diverse Development Stages and Ambitions
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Skylark Labs Foundation IHMC
Igus Introduces New DeviceNet Cable for Dynamic Robotics with Enhanced Durability
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RobotToday Weekly September 21 – 25, 2026
Cognex buys RealSense, Qualcomm acquires PickNik, the IFR counts 5 million factory robots, AGIBOT deploys 300 robots at Chimelong, and Tekever raises $580 million.
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MIR Databank puts China dexterous hand shipments above 30,000 units in 2026, yet only 3.5% of 2025 demand came from factory production. Part 1 of 3.
Primech AI's HYTRON: Inside the Architecture of the World's Most Advanced Restroom Cleaning Robot
Primech AI's HYTRON is a fully autonomous restroom cleaning robot powered by the NVIDIA Jetson Orin Super, featuring a 6-DoF cleaning arm, electrolyzed water sanitation, and automated fluid management — delivering independently verified >99% bacterial reduction for airports, hospitals, and high-traffic commercial facilities.
