Delivery Robot S2

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Segway robotics S2 is a delivery robot developed to meet the intensive delivery needs of different indoor environment and usage scenario.

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Creating new distribution experiences

Multi-box delivery | Core battery, odometry and electronic control technologies | Multi-robots collaboration | Sensory fusion mapping

S2 offers a safer and more intelligent, efficient and reliable delivery experience to consumers.

Directional guide robot | Deliver items for customers | Audio broadcast | 24/7 scheduled services | Security Robot Patrol with Video Surveillance

IoT-based elevator | Intelligent obstacle avoidance | Autonomous navigation | Automated recharging

How is it done?

How does S2 complete the delivery process?

The delivery robot can adapts well to slow-moving objects in the environment. It integrates visual navigation and laser ranging sensors to more accurately sense the surrounding terrain. With support from proximity AI and big data analytics, the algorithm continue learning and adapts itself to more effectively complete it tasks even in complex environment over time.

S2 carries out mapping and plan its path on its own, and can achieve 360^o Omni-directional obstacle avoidance to fulfil various delivery needs.

Tell me more

1. Put in the items

2. Depart for delivery

3. Intelligent Obstacle Avoidance

4. Take the elevator autonomously

5. Robot arrived at destination

6. Notification call to recipient

7. Box unlock for recipient

8. Return to standby site

User-centric process navigation

The anti-pinch box door makes it easier to put in and take away items. The non-contact scanning provides a role-based authentication at every stage of the delivery process.

And what else

Localization and navigation algorithm

Indoor type of built environments are generally more challenging for an autonomous ground vehicle due to the surrounding is design to support foot traffic and human activities. Our management platform, orchestrate a fleet of coordinated robots to function robustly and safely among humans in large, highly dynamic, indoor environments.

LiDAR + Visual SLAM

Developed after multiple iterations, a fusion of sensors constructed SLAM and with the navigation, the algorithm realizes three-dimensional autonomous localization and mapping. At the same time, 3D ground detection sensors and the recent visual segmentation algorithm are added to greatly enhance operational safety.

Efficient obstacle avoidance by intelligent sensing

Based on the latest research achievement on reinforced learning, S2 can easily detect low obstacles such as human feet and steps in crowded environments such as shopping mall, healthcare institution, transit hub and office buildings.

Autonomously adapt to environmental changes

Continuous map update and information correlation during its operation, it adapts to working environment changes. With mapping for one time, it can maintain fully autonomous localization for a longer period, and until the location experienced substantial structural changes.

Robot fleet management

Robot fleet management and scheduling

A robust system of mapping and navigation algorithm was further refined and enhanced by cloud service network to deliver intelligent dynamic scheduling and real-time service monitoring, without any manual maintenance. Letting a fleet of coordinated delivery robots function robustly and safely among humans in large, highly dynamic, indoor environments (such as, hospitality establishment, healthcare institution, campuses and residential zones and the likes).