FAQs Archive - Page 4 of 6

16 Apr

What other measures are employed to secure our LeoBots?

Identification and Authentication – Through a central service
Encryption for Data at motion (TLS) and Data at rest (AES256)
Roles Based Access Control (“RBAC”)
- Controlled privileges and separation of duties to segregate user groups
- The administrator has control, ensuring consistency in best practices
- 2 Factor Authentication required to access robot
Audit Log
- Centralized logging of all user activity – Valid and invalid attempts
  (e.g. Logging in and out of the LionsCloud, changing of passwords)
- Perpetrator, source, type, and time of events are recorded
Defense against common vulnerabilities (OWSAP Top 10)

14 Apr

Are LeoBots vulnerable to someone attempting to tamper with it?

With all our precautions, worst case scenarios of people with malicious intent are far and few between, but it is still highly recommended that a local operator keeps an eye on our LeoBots while they clean in the event of intentional tampering.

This is a general precaution with any device working in public spaces and is not unique to our LeoBots.

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12 Apr

Which network gateway model do LeoBots use for data connections?

LeoBots use a premium network gateway model—a global version of a 4G network gateway that should support most countries. However, we will be sure to verify compatibility with local cellular network/frequency before deployment.

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10 Apr

Can LeoBots work with specific corporate IT security policies?

Absolutely. We’ve successfully deployed LeoBots around the world in high-security locations such as airports, government installations, and hospitals—hence we will work with your corporate IT teams to comply with specific security policies.

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08 Apr

Does LionsBot use public data centers?

We’ve partnered with Amazon Web Services (AWS) for secure Command Centre hosting. AWS has been awarded ISO 27001 certification—a security management standard which defines best practices and comprehensive security controls, and it is those best practices that we followed in designing our LionsCloud.

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06 Apr

Where is the data captured by our LeoBots stored?

We capture performance data and limited video data, stored on the LeoBot’s internal hard drive. In addition, we also send additional data to the LionsCloud for live updates on robot position, status, and more. We are happy to discuss alternative options if required, to comply with corporate IT policies or regulatory requirements.

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04 Apr

How long do our LeoBots store data?

150 active working hours. For instance, if the daily running time is 5 hours, our LeoBots will store 30 days of data.

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02 Apr

How can I leam more about LionsBot’s network security?

Contact us at hello@lionsbot.com for more information.

By SQ 0 Comments

30 Mar

How do LeoBots navigate?

LeoBot uses state-of-the-art SLAM (Simultaneous Localization and Mapping) technology to allow precise localisation—a process of determining where a LeoBot is located with respect to its environment.

When a LeoBot is deployed to new worksite, the worksite will be mapped so that a fully-customizable cleaning plan and navigation behaviour can be generated. This will be the master plan for the LeoBot, serving as a constant reference point to ensure cleaning efficiency.

With an onboard sensor network and an AI mapping system, our LeoBots will adaptively update its semantic map, a multi-layered map that stores 2D worksite features and 3D tracked obstacle lists—allowing for life-long deployment, regardless of worksite feature changes. Adaptive semantic mapping also allows for robust and accurate localisation performance, and real-time cleaning paths to be generated, achieving maximum cleaning coverage at all times.

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28 Mar

Are LeoBots able to detect and avoid obstacles and people?

Yes, very much so! With the LionsBot AI system, our LeoBots can perceive the surrounding objects, detecting and recognising human and non-human objects, while avoiding dangerous environments such as staircases, escalators, uneven floors, etc. The smart active tracking system is able to understand and assess if an obstacle is stationary or moving, able to effectively predict the movement trajectory, allowing for reactive dynamic obstacle avoidance.

With the help of fused sensory information from onboard sensors, LeoBots are able to detect any obstacles in its cleaning path from as low as 15 cm from the ground. With an accurate detection system and precise navigation control, LeoBots are able to plan an avoidance path closely around the obstacle, navigating confidently without collision.

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