Fraunhofer IPA’s Care-O-bot 4 shows how modular service robots are being built for human-facing tasks

From lab to lobby

Service robots are being pushed to do more than move objects, because human-facing spaces demand navigation, interaction, and safe operation in close quarters. Fraunhofer IPA’s Care-O-bot 4 was presented as a modular service robot platform designed for that environment, with the robot’s fourth generation emphasizing agility, interaction, and configurable applications.

Why the design matters

Care-O-bot 4 matters because its value is not one fixed task, but a platform approach: modular hardware, a mobile base, and interaction-focused design let the same system be configured for reception, delivery, guiding, or concierge-style roles. Its spherical joints and optional arm configurations are meant to expand working space and adapt the robot to different service scenarios, while its speech-based and visual interfaces aim to make contact feel more natural in public settings. Care-O-bot 4’s real innovation is not autonomy alone, but making one service robot adaptable enough for many human-facing jobs.

How it works

The system flow is straightforward: human motion and intent are interpreted through sensors and interaction inputs, the robot’s software processes that information with ROS on Linux, and the base and upper body execute movement while balance and obstacle avoidance logic keep it stable in shared spaces. In practice, that means laser scanners, cameras, microphones, and depth sensing support localization, speech and gesture recognition, and safe navigation rather than a single pre-programmed route.

A retail assistant role

One of the clearest deployments is in retail, where Care-O-bot 4 was shown as a shopping assistant and information guide in a store setting. In that role, the robot is not replacing staff; it is handling first-contact tasks such as greeting visitors, pointing people to products, and acting as a visible interface for basic assistance in a busy indoor space.

Capability by design

The reported 72 x 72 x 158 cm footprint and 140 kg mass frame Care-O-bot 4 as a substantial indoor platform rather than a lightweight delivery cart, while the 1.2 m/s top speed supports movement through public spaces without trying to mimic human walking pace. Its LiDAR, RGB cameras, depth cameras, microphones, and infrared sensors support safe navigation, crowd avoidance, and interaction, while the omnidirectional wheeled base and SLAM-based navigation help it move in tight, changing environments. Its ROS and Linux software stack also matter because they make the robot easier to integrate into research and commercial service workflows, rather than locking it into a single proprietary behavior set.

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Platform over preset

Care-O-bot 4 also reflects a broader industry shift toward service robots that can be adapted for the room they are in, rather than scripted for one routine path. That matters because the hardest problems in hospitality robotics are not just movement and sensing, but making the robot understandable, approachable, and useful to people who have never used it before.