Roboauto: A Trusted Bridge Between Autonomy and Humanity

 

Czech autonomous driving technology company Roboauto, led by CEO Jakub Juza, is a teleoperation specialist that has been developing a hybrid autonomy model bridging human and machine collaboration since 2018, when the company recognized the limitations of full autonomy. Roboauto’s core technologies include multipath networking for stable connectivity, predictive control and adaptive video streaming for ultra-low-latency communication, and operator-centric UX and HMI design to ensure sustainable, long-duration operations. These technologies have been validated through 24/7 pilot operations in industrial logistics and public-service fleets. CEO Juza stated that Roboauto aims to become “a trusted bridge between today’s automation and tomorrow’s autonomy,” expanding a safe and certifiable ecosystem for remote operations.

by Sang Min Han _ Han@autoelectronics.co.kr

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What led you to start working on teleoperation in 2018, and what was the state of the automotive industry at that time? Why did Roboauto position itself as a “disruptor,” and what were your initial strategic goals? 
Juza        In 2018, full autonomy was overpromised and underdelivering. We saw teleoperation as the pragmatic bridge: automation where it works, humans where it doesn’t. Our stance was to reject the “all or nothing” view of autonomy. Early goals: prove safe low-latency control, design an operator console for 1:N control, and show value in logistics and municipal services.


 

Over more than eight years of research in teleoperation and autonomous driving, what have been the key turning points or technical breakthroughs? Could you share your greatest achievements as well as the lessons learned along the way? 
Juza        Breakthroughs came with multipath networking, perception-assisted controls, and with the integration of additional machines that enable new use cases. Our biggest achievements are extended pilots in logistics and public service fleets that included live operation up to 24/7. Lessons: latency must be managed end-to-end, operator UX is critical, and the solution must be adapted to the particularities of a given operation.


Could you explain Roboauto’s core technologies - such as multipath networking, AI-driven optimization, and operator UX - and what differentiates your approach from competitors?
Juza        We combine multipath bonding with predictive optimization and adaptive video stream bitrates. That way we can make the video streams as smooth as possible, which is critical for operator UX, and their trust in the technology. We focus on safety envelopes and HMI tuned for long shifts. We don’t want to overwhelm the operator with too much data. We want to visualize what is important to allow them to do their work effectively. We cooperate with researchers from universities and research centers to be able to drive these decisions using data instead of our feeling. At later stages, we also collect feedback from the operators and apply it to make the operation sustainable for extended periods of time.






 

In your talk, you highlighted the challenges of latency and human reaction time. What specific approaches have you taken in real projects to address these issues, and which have proven most effective?
Juza        We look at latency end-to-end and we tune all aspects of the chain which starts at collecting the sensor data and displaying it to the operator and ends by turning the operator’s feedback into the vehicle actuation. We apply predictive controls, and enforce speed and acceleration limits tied to network health. Fail-safes ensure vehicles enter minimal-risk states if links degrade. Operator training and ergonomics reduce reaction-time variance.


Teleoperation could be an attractive target for attackers. What cutting-edge cybersecurity technologies or processes does Roboauto employ to prevent threats and maintain system trustworthiness?
Juza        We use zero-trust architecture, encrypted communication channels to transfer both commands/telemetry and video data, hardware roots of trust, and secure OTA. We continually update the encryption algorithms and ciphers that we use to ensure our system remains secure. We are already looking into the Cyber Resiliance Act to ensure compliance.


What have been the most significant projects or pilot cases where Roboauto’s teleoperation technology has been applied so far? What key feedback have you received from customers or partners through these implementations?
Juza        Key pilots include logistics in industrial yards, chemical plants, last-mile operation of trucks and material handling. At the moment, customers assign greatest value to safety and workforce mobility. The operators can operate at a distance of hundreds of kilometers, which is valuable especially to operations in remote locations. We’ve received positive feedback on the telemetry data we provide as well, as this has lead to additional insights into their operations. The operators also appreciate the increased safety and comfort of being able to work from an office or similar environment.


You mentioned that operational cost is a barrier to large-scale deployment. How is Roboauto addressing this challenge? Are there any new business models or partnership strategies you are exploring? 
Juza        We are exploring options that allow smarter bandwidth use, strive for 1:N operation, and remote fleet health monitoring. On the business model side, we are looking into Teleop-as-a-Service and partnerships with telcos and integrators to bundle tech, connectivity, and compliance.






 

You referred to a “lack of institutional awareness.” Where does teleoperation currently stand in the European and global standardization landscape? How is Roboauto contributing to shaping regulations or standards?
Juza        Teleoperation is only now entering standardization. Teleoperation-specific regulation is still very fragmented between different countries and industries. There are also UNECE rules and horizontal product laws like the CRA that impact teleoperation providers and developers in EU. We contribute through EU projects, industry alliances, and by sharing pilot evidence to guide safety and compliance frameworks. We also actively participate in dissemination of learnings from the industry with Czech national and industrial bodies like the ministry of transportation. 


Teleoperation and new mobility opportunities - Given the delays in achieving full autonomy, what new business opportunities or mobility ecosystems do you see emerging from teleoperation? For example, in areas such as robotaxis, logistics, or specialized vehicle operations.
Juza        We see a strong need to validate the individual business cases. Logistics, municipal services, and harsh environments are strong near-term markets. Safety-related cases where decoupling the operator and the machine creates value are the focus for now. Teleoperation also underpins supervision for robotaxis, enabling higher uptime and safer rollouts. Those kinds of deployments are highly dependent on the autonomous operation functioning close to 100% of the time to be economically viable.


As the era of SDV accelerates, what are Roboauto’s key technical and business goals over the next 5-10 years? What role do you hope Roboauto will play on the road toward full autonomy? 
Juza        We want to be the trusted bridge between today’s automation and tomorrow’s autonomy: the company that makes remote operations safe, economical, and certifiable, so fleets can deliver value now while earning their way to higher levels of autonomy. This means applying latest technologies while also harnessing feedback from the ongoing deployments to deliver value now.  


 


Finally, do you have any message you’d like to share with our Korean readers? 
Juza        Korea has a remarkable track record of embracing advanced mobility and connected technologies. I believe it will play a leading role in shaping safe, networked vehicle operations. We’d love to collaborate with Korean partners who share that vision - building practical, deployable autonomy together.

AEM(오토모티브일렉트로닉스매거진)

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