The hybrid robotic workforce bridging the gap between digital stock and physical reality. Detect voids in real-time. Restock intelligently.
AisleSense utilizes a hybrid Edge-Cloud architecture to navigate, audit, and correct retail environments without infrastructure changes.
High-fidelity mapping enables navigation in aisles as narrow as 90cm. Capable of real-time dynamic obstacle avoidance (shoppers, carts) using the ROS 2 navigation stack.
Custom linear actuator extends sensor array to 1.8m, ensuring all shelves are audited.
Onboard NVIDIA Jetson Orin Nano computes depth data locally. Instant processing.
Built for endurance and precision in dynamic retail environments.
| Chassis Type | Differential Drive |
| Max Reach | 1.8 Meters (Linear Ext) |
| Vision Stack | LiDAR + RGBD Camera |
| Compute | Jetson Orin Nano |
| Power Unit | 20Ah 12V Li-Ion |
Development of core differential drive mobility, SLAM mapping, and chassis fabrication.
Development and extensive testing of the Moblile Platform with the Robotic Manipulator
Training ML models on retail datasets to distinguish empty space and Branded Products. Integrating depth masking. Training the Robot to accurately pick and place items on the shelves.
Integrating all aspects of the robot, bringing it all together, and making it safe and ready for commercial use.
Deployment in mid-sized retail stores in Chennai for real-world validation of the robot.