ROSOrin Pro with OpenClaw🦞: Mastering the Embodied AI Closed-Loop

Ajouté : 2026-05-12

[00:00:01]How powerful can an open cloud powered robot really be? This is Roser in Pro, an all-in-one robot built for AI education. Here is a smart warehouse scenario built specifically [music] for Roser in Pro. Let's take a look.

[00:00:14]Hello, Hiwonder. Can you check the safety aisle and send me a photo?

[00:00:21]On it. Navigating to the inspection point now. Arrived at the inspection point. Taking a photo and sending it now.

[00:00:27]>> [music] >> Photo sent to Telegram. Reviewing the scene now. Safety aisle inspection complete. The photo has been sent to Telegram. The safety aisle is blocked.

[00:00:35]One obstacle needs to be cleared. Would you like me to remove it now? Go ahead and clear it. Starting obstacle removal.

[00:00:46]Obstacle removal task fully completed.

[00:00:48]The box has been moved to the drop-off point and the aisle should now be clear.

[00:00:51]Want me to go back and take another photo to confirm? No need. Go to the workbench in area A and deliver the red blocks to the office.

[00:01:00]>> [music] >> Got it. Heading to area A now.

[00:01:05]Arrived in area A. Checking the workbench.

[00:01:09]No red blocks were found on the workbench in area A. Only the green and blue blocks are present. Would you like me to check area B? Check area B >> [music] >> and take a look at the temperature and humidity while you are there.

[00:01:25]Arrived in area B. Checking the workbench now.

[00:01:29]Current readings. Temperature 74.7° Fahrenheit. Humidity 52%. Red blocks were found in area B. Would you like me to pick them up and deliver them to the office now? Yes. Take them to the office.

[00:01:43]Picking up the red blocks now.

[00:01:46]Pickup complete. Heading to the office now.

[00:01:50]>> [music] >> Arrived back at the office. The red blocks have been delivered. Anything else? Next time, [music] which area should be checked first for red blocks?

[00:02:02]Based on this task, no red blocks were found in area A, while two were found in area B. Next time, [music] area B should be checked first for red blocks. Save two vector database memory. In this setup, Open Claw enables Rozerin Pro to complete a true end-to-end closed [music] loop that connects perception, memory, reasoning, execution, and cross-device feedback. One [music] cross-platform collaboration. With the help of messaging platforms such as Telegram, Open Claw enables remote interaction between people and robots.

[00:02:31]It feels like having a dedicated personal assistant on standby. Whether a command is typed or sent by voice, >> [music] >> the robot can respond quickly and carry it out right away. Two, intelligent information consolidation. By calling a vision-language model API, Open Claw can accurately identify key environmental details, [music] including item quantities and colors. It then organizes the information and syncs it to your phone in real time, so on-site [music] conditions stay visible from anywhere.

[00:02:59]Three, proactive response. When problems arise during task execution, the robot does not simply wait for the next instruction. Instead, it detects [music] anomalies in the environment and proactively generates a solution. When an obstacle blocks the aisle or a red item cannot be found in the warehouse.

[00:03:15]Four, automatic task decomposition. Once Open Claw determines the best solution, it can automatically break the objectives into smaller [music] tasks and replan the workflow accordingly. And all of this depends on a fifth core upgrade, dynamic low-level invocation.

[00:03:30]Depending on the task, Open Claw can autonomously call the right ROS to low-level [music] interfaces and flexibly apply skills, such as AI vision recognition, Cartesian coordinate [music] control, multi-point navigation, and path planning. Six, spatial vector memory. Open Claw remembers more than just conversation history. It also links objects [music] to 3D space, so the robot can immediately answer where to search first for red blocks next time based on what it has learned from the environment. To support learning and development, the deployment stack behind this AI robot powered by large models has been made open source. A structured development course is also available covering everything from open cloud deployment to foundational algorithm development. Get started today and build a custom embodied AI robot from scratch.