About
Lovell AI provides the training academy for teaching cognitive robots how to adapt and perform complex material handling tasks. Our hybrid cloud platform enables the design, training, validation, and deployment of multi-agent robot brains for various types of embodiments. We handle the heavy lifting of building an adaptive intelligence layer across different vendor embodiments. Our OEM, robotics-as-a-service, and solution partners leverage our platform to accelerate R&D and deliver enhanced solutions to their customers.
Our platform includes:
Autonomy: A cloud-based suite of physical AI design and simulation tools. Autonomy allows users to generate and refine fully functional multi-agent robot brains from multimodal prompts, significantly speeding up development. Test and iterate on your robot's vision, manipulation, and locomotion skills.
Command Center: We offer a cloud-based mission control service for training and evaluation robot brains. Users can configure and automate training missions using a blended array of learning options, including narration, demonstration, teleoperation, and experimentation. Utilize “proctored” exam-style evaluations to validate robot behaviors. Generate a versioned history to audit data provenance between missions.
Edge: Users can deploy directly to physical robots or at the network edge. Seed your robot with new skills through learning from human demonstrations and peer-to-peer policy sharing. Reduce latency compared to cloud-dependent alternatives while ensuring security and compliance.
Application in Material Handling
Lovell AI enables robots to perform tasks such as adaptive kitting, pick-and-place, sorting, assembly, palletizing/depalletizing, and quality inspection in environments with highly variable SKUs and frequent product changeovers.